Hi Ballardw, happy new year.
I used the newsurv 2020 (below). I am not sure I modified and deployed the macros appropriately, could you please guide me? My goal is to render the graph (attached) so that the maximum point on the y-axis is 0.4 so that it can be more prominent.
This the code thatt producedd this graph
PROC LIFETEST DATA=SOURCE.BIGDATA OUTCIF=ATRISK MAXTIME=14 plots=cif(test);
TIME PERIOD * EVENTCLASS(0)/EVENTCODE=1;
STRATA CLASS;
ODS OUTPUT CIF=CIFDATA;
RUN;
/*------------------------------------------------------------------*
| MACRO NAME : newsurv
| SHORT DESC : Creates Kaplan-Meier survival plots with summary
| built into plot. Can also output summary table.
*------------------------------------------------------------------*
| CREATED BY : Meyers, Jeffrey (01/20/2013 3:00)
*------------------------------------------------------------------*
| VERSION UPDATES:
| 8.4 - 04/13/2020
| Corrected an error of grabbing the wrong timelist values to be shown
in the plot when covariates in CLASSCOV or CONTCOV
| Corrected some display issues in footnotes when using INVWTS or DIRECT methods
| Corrected display issues within LISTING output.
| Added DEBUG option to keep temporary datasets and see notes.
| 8.3 - 01/15/2020
| Corrected TIMELIST duplicating estimates across class values
| 8.2 - 01/13/2020
| Corrected TIMELIST showing the correct time-points in table
| when no CLASS is specified.
| 8.1 - 12/10/2019
| Updated LINEOBSMAX to be 1000000 within the macro
| Made changes to allow macro to work better in Windows SAS
| 8.0 - 10/21/2019
| Added two additional methods to METHOD parameter:
INVWTS: Adjusted survival using inverse weights methods
DIRECT: Adjusted survival using direct methods
| Added PLOT_UNADJUST option to hide/display unadjusted curves
when using METHOD=INVWTS/DIRECT
| Added PATTERN_ADJUST to set patterns for adjusted curves
| Changed appearance of TIMELIST in table
| LISTTIMEPOINTS now can also remove time points from TIMELIST in table
| When changing ALPHA the correct percentage CI is listed in the headers
| Updated graphing methods. Output table (OUTP) has been modified
| 7.4 - 08/06/2019
| Added ability to add gridlines to the graph.
| Added CENSORMARKERS=2 to draw the censor markers but not include the
symbol in the legend.
| 7.3 - 04/12/2019
| Updated documentation for readability
| 7.2 - 08/28/2018
| Changed dataset for stratified Gray test in CIF methods
| 7.1 - 05/23/2018
| Fixed logic that cause the where clause to not be applied properly.
| 7.0 - 02/11/2018
| Macro is no longer compatible with SAS 9.4M2 or earlier versions
| Added error check for when WHERE parameter fails
| Modified how temporary dataset is put together to avoid errors when
two submitted variables have the same name
| Updated CIF section to use the LIFETEST calculation instead of
data step calculations
| Multivariate counts (events/totals) now pulled from a LIFETEST procedure
| 6.62 - 2/05/2018
| Fixed error within new LISTING report section.
| Added the ALPHA parameter to change confidence limit types.
| 6.61 - 12/05/2017
| Fixed error within new LISTING report section.
| 6.6 - 12/02/2017
| Updated summary table section. Now has the same appearance across
ODS destinations and works in the LISTING output window.
| Added TSUBTITLEWIDTH option to control the width of the subtitle
column.
| 6.5 - 09/26/2017
| Fixed logic issue when using CIF methods
| 6.4 - 08/09/2017
| Fixed issue in 9.3 when using class variable.
| 6.3 - 05/29/2017
| Logic corrections
| 6.3 - 05/25/2017
| Updated documentation notes
| 6.2 - 05/23/2017
| New parameter added: SYMBOLWEIGHT. Allows the censor symbols to be
set to bold making them thicker.
| 6.1 - 05/21/2017
| New parameters added to change graph styles:
TRANSPARENT (9.4M3+): Changes the background of the plot to be transparent
AXISCOLOR: Changes the color of the plot axes and border lines
BACKGROUND: Changes the background color of the plot
FONTCOLOR: Changes the color of the text within the plot
| RISKLABELDLM default changed to missing to match new patients-at-risk format
| SAS 9.4 now allows the destination to be EXCEL and POWERPOINT
| SAS 9.4: Reverts to new EMF format when any transparency is specified
| Added CINDEX and CINDEXMV as options to the DISPLAY and TABLEDISPLAY
parameters. These are only allowed when METHOD=KM.
| ODS LISTING is disabled for the Report Table. The format of the table is not designed
to be displayed by the output window, but rather the results window.
| 6.0 - 05/14/2017
| Multiple changes to patients-at-risk:
Values will no longer be cut-off by sizing/offsets when SAS 9.3+
and RISKLOCATION=BOTTOM
PARDISPLAY added to allow the display of patients at risk (PAR),
number of cumulative censors (NCENS), and number of cumulative events (NEVENTS).
Combinations of PAR_NCENS and PAR_NEVENTS are allowed
Headers for number of cumulative censors and number of cumulative events added
RISKLOCATION default changed to BOTTOM from nothing.
| Warning when using cumulative incidence removed. Will monitor for errors.
*------------------------------------------------------------------*
| PURPOSE
|
| This macro runs survival analysis on a time variable with or
| without a class variable. The analyses that are run are:
| number of patients, number of events, median time to event,
| hazard ratios, and p-values (logrank, score, and likelihood-
| ratio). These analyses are stored in a summary dataset that
| is then be used to output a Kaplan-Meier survival plot
| with the summary information listed on the plot (which output
| appears in the plot is customizable), in a summary table, or
| both. The plot is extremely customizable and the time can
| be transformed by a factor. The summary table can be stored
| and added to with further calls of the macro (when newtable=0),
| allowing for the output of multiple models.
|
| Multiple models can be ran in one one macro call, either to add
| multiple models statistics to the summary table or to plot
| multiple Kaplan-Meier curves into a lattice plot. Each of these
| plots and lattices are customizable individually by separating
| each model's attributes with a | delimiter. The number of models
| run is determined by the number of time variables given. For Example
| to run two models through the macro enter TIME=var1|var2. See example
| 6 for more details. The same time variable can be listed multiple
| times. For other parameters, if the macro parameter will not change
| across models, the parameter only needs to be listed once and will
| be assumed to be the same across all models. For example, if
| TIME=var1|var2 and CLASS=class1, the macro will assume that class1
| will be the class variable for both models. If instead the class
| parameter is: CLASS=class1|class2, then class1 will be used for
| model 1 and class2 will be used for model 2. Blank values are also
| accepted.
|
| 1.0: REQUIRED PARAMETERS
| DATA = dataset that contains the time variable, censor variable,
| and optional class, adjusting variables, and stratification variables.
| TIME = Variable containing time to event information
| CENS = Numeric variable containing event (coded as a binary variable)
| CEN_VL = Numeric constant representing value of a non-event in CENS.
| Default = 0.
| METHOD = Determines the method for calculating the survival estimates. Options are
| KM for Kaplan-Meier, CIF for cumulative incidence function (Competing Risks),
| INVWTS for inverse-weights adjusted survival, and DIRECT for direct adjusted survival.
| Default is KM.
| EV_VL = Numeric constant representing the event of interest in a competing risks
| analysis. There is no default for this variable. It is only required when
| method = CIF.
|
| 2.0: Optional PARAMETERS
| 2.1: Output controlling options
| 2.1.1: Output datasets
| OUT = A name for the output dataset for the statistical report table
| OUTP = A name for the output dataset for the plot dataset.
| 2.1.2: Plot and Table switches
| PLOT = A flag variable to turn printing the plot off (0) or on (1)
| Default = 1 (on), options = 1 (on) or 0 (off).
| PLOT_UNADJUST = A flag variable to turn printing the unadjusted curves off (0) or on (1)
| when METHOD=INVWTS or DIRECT. Default = 1 (on), options = 1 (on) or 0 (off).
| NOTE: 0 is only available when METHOD=INVWTS or DIRECT
| SUMMARY = A flag variable to display a report table at the end of
| the macro off (0) or on (1)
| Default = 1 (on), options = 1 (on) or 0 (off).
| NEWTABLE = A flag variable to determine if a new summary output table is created
| or if the results will be saved into a previously created dataset.
| 1 = New table made, 0= previous dataset. Default=1.
| 2.1.3: Outputting to a document options
| DESTINATION = Type of ODS output when creating a document.
| Default is RTF, options are RTF, PDF, HTML.
| OUTDOC = Filepath with name at end to send the output.
| Example: ~/ibm/example.doc
| 2.1.4: Image file options
| GPATH = Determines the path that the image is saved to. Defaults to the path
| the SAS session is opened to.
| NOTE: ODS LISTING has to be enabled to create an image file.
| PLOTNAME = Names the image file. Plot will be saved per the GPATH parameter.
| Default is _surv.
| PLOTTYPE = Determines the image type of the plot. Default is png, options
| are png, tiff, jpeg, emf, gif.
| NOTE: There is special code added for TIFF plots in order to make
| appropriately sized image files. If DPI settings are too high
| depending on operating system and SAS version, this may not work.
| NOTE2: Special code is made for SAS 9.4 for EMF files. This is due to SAS
| changing the default drivers for EMF files in 9.4, but this change
| causes the EMF files to not build properly when trying to convert to
| Windows objects. Code given by Martin Mincey to add registry keys
| is used to temporarily add registry keys, then these are removed at
| the end of the macro. This only occurs when making EMF files in SAS 9.4
| DPI = Determines the dots per inch of the image file. Default=200.
| HEIGHT = Sets the height of plot window. Default is 5in. Set by a
| numeric constant followed by px or in. Must be in for TIFF.
| WIDTH = Sets the width of plot window. Default is 7in. Set by a
| numeric constant followed by px or in. Must be in for TIFF.
| SVG = Turns scalable vector graphics on or off.
| Possible Scalable Vector Graphics formats are EMF within or not within RTF,
| PDF, and HTML. In order to activate the scalable vector graphics, the
| DESTINATION must be used in conjunction with the SVG parameter. To create
| SVG EMF files use DESTINATION=RTF and PLOTTYPE=EMF. To create SVG PDF files
| use DESTINATION=PDF. To create SVG HTML files use DESTINATION=HTML.
| Default is 0 (off). options are 1 or 0
| TIFFDEVICE = Determines the GDEVICE to use when making TIFF plots. Default is TIFFP.
| Options can be found with PROC GDEVICE catalogue=sashelp.devices;run;
| ANTIALIASMAX = Maximum threshold to keep line smoothing activated. Set to
| arbitrarily large number if large file.
| 2.2: Input Dataset Modifiers
| XDIVISOR = Numeric constant to transform the time variable into other units.
| Will divide the time variable before Kaplan-Meier survival estimates are
| computed.
| WHERE = Gives a where clause to subset the DATA dataset down. Type
| exactly as would be in a procedure step. Does not change original dataset
| Example: where=age>70
| 2.3: Class Variable Options
| CLASS = Variable used to subset patients for comparison (Character or
| Numeric). Can be formatted; numeric or character.
| CLASSORDER = List of numbers corresponding to the preferred order of the
| alphabetically sorted class variable formatted values.
| Example: Values = A, B, C. CLASSORDER = 2 1 3 would cause
| order to be B, A, C.
| DESC = Reverses the order that the class variable is displayed.
| Default is 0. Can be 0 or 1. Enter desc to reverse order.
| 2.4: Statistical Modeling Options
| 2.4.1: General Modeling Options
| ALPHA = Determines the alpha for confidence intervals. Default is 0.05.
| Note that this does not change any headers in the output.
| STRATA = Variable(s) separated by spaces to use as a stratification
| in Cox models. Included in the STRATA statement in PHREG and
| creates stratified LOGRANK and WILCOXON p-values when
| PLOTPVAL=LOGRANK or WILCOXON
| NMODELS = Sets the number of models computed within the macro. Default=1.
| 2.4.2: Rounding Options
| HRDIGITS = Number of significant digits to show for the hazard ratios and confidence bounds. Default is 2.
| KMESTDIGITS = Number of significant digits to show for the hazard ratios and confidence bounds. AUTO
| will determine the number of significant digits based on the YTYPE parameter. Default is AUTO.
| MEDIANDIGITS = Number of significant digits to show for the median time-to-event and confidence bounds.
| Default is 1.
| PVALDIGITS = Number of significant digits to show for all p-values. Default is 4.
| CINDEXDIGITS = Number of significant digits to show for all c-indexes. Default is 2.
| 2.4.1: Kaplan-Meier Modeling
| SREVERSE = Flag variable to model 1-Survival instead of Survival
| Options are 1 (yes) and 0 (no). Default=0.
| NOTE: This is not the same as cumulative incidence. Set METHOD=CIF
| for cumulative incidence/competing risks.
| TIMELIST = Numeric time-points to collect Kaplan-Meier survival
| estimates w/confidence intervals. Can be entered as
| numeric values separated by spaces, or in a list format
| (example: 0 to 60 by 10). Time-points should match
| the TRANSFORMED time-scale of time variable if XDIVISOR is used.
| CONFTYPE = Method of computing confidence intervals for Kaplan-Meier
| survival estimates. Default is LOG, options are: LOG,
| ASINSQRT, LOGLOG, LINEAR, LOGIT.
| LANDMARK = Gives either a variable or a number to landmark the TIME
| variable by for the analysis. Number must be greater than 0.
| 2.4.1: Cumulative Incidence Modeling
| CIFVAR = Sets the methods for CIF calculation of the variance. Options are COUNT (Counting method)
| and DELTA (Marubini's delta method) Default is COUNT.
| 2.4.1: P-values (Requires CLASS Variable)
| PLOTPVAL = Type of P-value to display in plot and summary document.
| Default is logrank, options are: score, logrank, lr, wilcoxon, and wald.
| LR stands for Likelihood-ratio
| PLOTPVALMV = Type of adjusted P-value to display in plot and summary document.
| Default is Score, options are: score, wald, and lr.
| LR stands for Likelihood-ratio. Requires CLASSCOV or CONTCOV
| 2.4.1: Cox Modeling (Requires CLASS variable)
| CLASSREF = Value to use as a reference for hazard ratios. Must match
| exact value of the class variable after formatting.
| HRTIES = Determines the method for dealing with ties in the PROC PHREG model
| statement. Default is BRESLOW. Options are: BRESLOW, DISCRETE, EFRON,
| and EXACT.
| CLASSCOV = List of discrete variables to be used as adjusting covariates in
| multivariate hazard ratio models. These are included in the PROC
| PHREG CLASS statement. Must be variable names in list separated by
| spaces.
| CONTCOV = List of continuous variables to be used as adjusting covariates in
| multivariate hazard ratio models. These are not included in the PROC
| PHREG CLASS statement. Must be variable names in list separated by
| spaces.
| REFHRTEXT = Text to be shown for reference level within the hazard ratio column.
| Default is REF.
| REFPTEXT = Text to be shown for reference level within the covariate p-value column.
| Default is --.
| 2.5: Plot Modification Options
| 2.5.1: Axis Options
| 2.5.1.1: Label Options
| XLABEL = Sets a label for the x-axis.
| YLABEL = Sets a label for the y-axis.
| LFAMILY = Sets the font family for the x/y labels. Default is Albany AMT.
| LSIZE = Sets the font size for the text in the x/y labels. Default=10pt.
| Must be followed by pt.
| LWEIGHT = Sets the weight of the text in the x/y labels. Default=bold.
| Options = medium or bold.
| 2.5.1.2: Tick-value Options
| YTYPE = Determines whether Kaplan-Meier survival estimates are in
| percentages or proportions. Default is pct, options are: pct and ppt.
| XMIN/YMIN = Designates the minimum for the axis. Default=0.
| XMAX = Designates the maximum for the x-axis. If left missing this will
| calculated as the maximum time value rounded up to the next
| number divisible by 5.
| YMAX = Designates the maximum for the y-axis. If left missing will be set
| to either 1 or 100 depending on YTYPE.
| XINCREMENT = Designates the distance between tick marks on the X-axis. If
| left missing this will be calculated as (XMAX-XMIN)/5.
| YINCREMENT = Designates the distance between tick marks on the Y-axis. If
| left missing will be set to 0.1 or 10 depending on YTYPE.
| XMINOFFSET/YMINOFFSET = Designates the amount of space the plot cannot take up at
| the minimum side of the axis. Range between [0-1).
| Default=blank. Blank will be automatically calculated.
| XMAXOFFSET/YMAXOFFSET = Designates the amount of space the plot cannot take up at
| the maximum side of the axis. Range between [0-1).
| Default=blank. Blank will be automatically calculated.
| XTICKVALFAMILY/YTICKVALFAMILY = Sets the font for the axis tick values. Default=Albany AMT
| XTICKVALSIZE/YTICKVALSIZE = Sets the font size for axis tick values. Default=8pt
| XTICKVALWEIGHT/YTICKVALWEIGHT = Sets the font weight for the axis tick values. Default=normal, bold=bold.
| 2.5.2: Lines and Symbol Options
| 2.5.2.1: Survival/CIF Curves
| COLOR = A list of colors separated by spaces to color lines in the plot.
| Default is black. If only one color is listed, then the lines will
| change in pattern. If multiple colors are listed, then all the
| lines will be solid unless PATTERN is specified.
| PATTERN = A list of line patterns separted by spaces to set the line types
| in the plots. Default is AUTO (picks numbers if only one color,
| does solid if multiple colors). Options are to do numbers between
| 1 and 46, or: SOLID, SHORTDASH, MEDIUMDASH, LONGDASH,
| MEDIUMDASHSHORTDASH, DASHDASHDOT, DASHDOTDOT, DASH, LONGDASHSHORTDASH,
| DOT, THINDOT, SHORTDASHDOT, and MEDIUMDASHDOTDOT.
| PATTERN_ADJUST = A list of line patterns separted by spaces to set the line types
| in the adjusted survival plots. Default is AUTO (picks numbers if only one color,
| does solid if multiple colors). Options are to do numbers between
| 1 and 46, or: SOLID, SHORTDASH, MEDIUMDASH, LONGDASH,
| MEDIUMDASHSHORTDASH, DASHDASHDOT, DASHDOTDOT, DASH, LONGDASHSHORTDASH,
| DOT, THINDOT, SHORTDASHDOT, and MEDIUMDASHDOTDOT. If AUTO is used and PLOT_UNADJUST=1
| the macro will pick different patterns than the unadjusted curves.
| LINESIZE = Size of the lines in the Kaplan-Meier curve. Default = 1pt.
| 2.5.2.2: Censor Symbols
| CENSORMARKERS = A flag variable to turn on the display of censor marks on the plot.
| Options are 1 (on),0 (off), and 2 (on but not in legend). Default=1.
| SYMBOLSIZE = Size of the censor markers. Default = 2pt.
| SYMBOLWEIGHT = Weight of the censor markers. Options are NORMAL and BOLD. Default = NORMAL.
| 2.5.3: Font Options
| 2.5.3.1: Plot specific titles/footnotes (Can be assigned to individual plots in multi-cell graphs)
| TITLE = Sets the title for the plot.
| TITLEALIGN = Sets the horizontal alignment for the title. Options are left, right and center.
| Default=center
| TFAMILY = Sets the font family for the title. Default is Albany AMT.
| TSIZE = Sets the font size for the text in the plot title. Default=12pt. Must be followed by pt.
| TWEIGHT = Sets the weight of the text in the plot title. Default=bold. Options = normal or bold.
| FOOTNOTE = Creates footnotes in the individual plot panes. Multiple footnotes can be created by
| separating them with the ` delimiter.
| FOOTNOTEALIGN = Sets the horizontal alignment for the footnotes. Options are left, right and center.
| Default=center
| FNFAMILY = Sets the font family for the title. Default is Albany AMT.
| FNSIZE = Sets the font size for the text in the footnotes. Default=12pt. Must be followed by pt.
| FNWEIGHT = Sets the weight of the text in the plot title. Default=bold. Options = medium or bold.
| 2.5.3.2: Overall image titles/footnotes (Only one Title/Footnote can be assigned to the whole graph)
| OVTITLE = Sets the overall title for lattice plots
| OVTFAMILY = Sets the font family for the overall title. Default is Albany AMT.
| OVTSIZE = Sets the font size for the text in the overall plot title. Default=12pt. Must be followed by pt.
| OVTWEIGHT = Sets the weight of the text in the overall plot title. Default=bold. Options = medium or bold.
| OVFOOTNOTE = Sets the overall footnote for lattice plots
| OVFNFAMILY = Sets the font family for the overall footnote. Default is Albany AMT.
| OVFNSIZE = Sets the font size for the text in the overall plot footnote. Default=12pt. Must be followed by pt.
| OVFNWEIGHT = Sets the weight of the text in the overall plot footnote. Default=bold. Options = medium or bold.
| 2.5.4: Plot Summary Table Options
| 2.5.4.1: Summary Table Location Option
| AUTOALIGN = Set a list separated by spaces of locations for the summary
| table in the plot. Default is topright bottomleft. Options
| are topleft, top, topright, left, center, right, bottomleft,
| bottom, bottomright. The plot will attempt to fit the table
| into the alignment that least interferes with the plot lines
| starting from left to right.
| NOTE: There is a bug with listing multiple locations that can
| cause the table to be displayed in multiple locations if
| there is collision with the graph. If this happens
| change the list to one location.
| LOCATION = Sets the summary table in the plot to be inside the plot window
| (inside) or outside the plot window (outside).
| 2.5.4.1: Statistical Output Options
| DISPLAY = A list of metrics to display in the plot window. Any combination
| of the following may be entered separated by spaces:
| LEGEND: legend for the Kaplan-Meier curves
| TOTAL: Total sample size
| EVENT: Total number of events
| EV_N: Combined events and total in the format EVENTS/Total
| N_EV: Combined events and total in the format TOTAL (EVENTS)
| MEDIAN: Median time-to-event and confidence interval
| TIMELIST: Time-point event-free rates, confidence intervals, and time-points
| HR: Hazard ratio and confidence interval
| PVAL: P-value specified by the PLOTPVAL parameter
| COVPVAL: P-value from Cox model parameters table
| CINDEX: C-index from the Cox model (not available for CIF methods)
| TABLECOMMENTS: User added annotation text specified by TABLECOMMENTS parameter
| When CLASSCOV or CONTCOV are specified, the following items can have the MV suffix
| added for the multivariate versions:
| TOTALMV, EVENTMV, EV_NMV, N_EVMV, HRMV, PVALMV, COVPVALMV, and CINDEXMV
| The order that items are written in this parameter determines the order they
| appear on the plot with one exception, Legend will always come first if listed.
| The default is set to STANDARD, which will select default options depending on
| plot method and SAS version.
| TABLECOMMENTS = A text string or series of text strings that will show up in
| the bottom of the plot summary table. These text strings are
| manually entered into the plot and show up as typed. These
| comments can be broken into multiple lines by splitting them
| with the ` delimiter (e.g. Comment 1`Comment2).
| CLASSVALALIGN = Sets the horizontal alignment for the listed class values.
| Options are left,right, and center. Default=center.
| CLASSDESC = Functions differently depending on whether CLASS is missing or not.
| No CLASS variable: Gives a description to be used in the legend and
| patients-at-risk table label CLASS Variable present: Gives a column header
| for the class levels in the plot summary table. Using %STR( ) will make this
| header blank. Using a ` delimiter will cause a line break
| LEGENDLINELENGTH = Sets the length of the legend lines within the summary table.
| Default is null. Example is 0.5in. Only available in SAS 9.4M1 or later.
| LISTTIMEPOINTS = Flag variable to determine if the column showing the time-points
| for the Kaplan-Meier event-free rates is displayed.
| Options are 1 (on) and 0 (off). Default is 1.
| 2.5.4.2: Font Options
| PTABFAMILY = Sets the font family for the text in the plot. Default is Albany AMT.
| PTABSIZE = Sets the font size for the text in the plot. Default is 8pt. Must be followed by pt.
| STATCOLOR = A flag variable to enable the text for the statistical values
| to be colored to match the color of the corresponding plot lines.
| Options are 1 (on) and 0 (off). Default is 0.
| 2.5.4.3: Column Header Options
| prefixHEADER = The header for each item in DISPLAY can be modified by entering the
| DISPLAY item followed by HEADER. Options are:
| LEGENDHEADER, TOTALHEADER, EVENTHEADER, EV_NHEADER, N_EVHEADER, MEDIANHEADER,
| TIMELISTHEADER, KMESTHEADER, HRHEADER, PVALHEADER, COVPVALHEADER,
| CINDEXHEADER, TOTALMVHEADER, EVENTMVHEADER, EV_NMVHEADER, N_EVMVHEADER,
| HRMVHEADER, PVALMVHEADER, COVPVALMVHEADER, CINDEXMVHEADER
| NOTE: KMESTHEADER is for the Kaplan-Meier estimate and confidence interval
| portion of the TIMELIST display item. TIMELISTHEADER is for the
| time-points portion of the TIMELIST display item.
| NOTE: The ` symbol acts as a line break for the headers.
| 2.5.5: Patients-at-Risk Options
| 2.5.5.1: Time and location options
| RISKLIST = Numeric time-points to collect number of patients at risk.
| Can be entered as numeric values separated by spaces, or in
| a list format (example: 0 to 60 by 10).
| These must be in the TRANSFORMED time units if XDIVISOR is used.
| RISKLOCATION = Location for the number at risk to show on the plot. The
| The default is bottom, the options are: bottom (below
| the x-axis) and INSIDE (above x-axis below the plot).
| 2.5.5.1: Display options
| PARDISPLAY = Determines which values are displayed in the patients-at-risk tables.
| Options are:
| PAR: Number of Patients-at-risk
| NCENS: Cumulative number of censors
| NEVENTS: Cumulative number of events
| PAR_NCENS: Patients-at-Risk (Cumulative number of censors)
| PAR_NEVENTS: Patients-at-Risk (Cumulative number of events)
| Listing multiple items will display in the order they are listed.
| PARALIGN = Determines the alignment of the patients-at-risk subtitle.
| Default is CENTER. Options are LEFT|CENTER|RIGHT|LABELS. LABELS
| will place subtitle above class values when RISKLABELLOCATION=LEFT.
| RISKCOLOR = A flag variable that causes the patients-at-risk numbers to
| match the colors of the plot lines. Options are 1 or 0.
| Default is 0.
| RISKROWWEIGHTS = When the RISKLOCATION=BOTTOM option is selected this sets
| the weights for the plot window and patients-at-risk table.
| Gives the weight value uniformly to each class level.
| Default is 0.025, range is (0,1)
| UNIFORMHEIGHT = When any of the requested plots have a patients-at-risk table with
| RISKLOCATION=BOTTOM, the space below each plot's x-axis will be
| uniformly set based on the maximum number of rows and maximum value
| of RISKROWWEIGHTS. Default is 0 (off). Values are 1 (On) or 0 (Off).
| 2.5.5.2: Label options
| RISKLABELLOCATION = Sets the location of the class level labels for the
| patients-at-risk tables. Default is LEFT. Options are LEFT, ABOVE, and nothing.
| RISKLABELALIGN = Sets the alignment for the patients-at-risk table when RISKLABELLOCATION=ABOVE.
| Default is LEFT. Options are LEFT, CENTER, or RIGHT.
| RISKLABELDLM = Determines the delimiter between the Risk label and the patients-at-risk
| RISKLABELLOCATION is set to LEFT. Default is -.
| RISKLABELWEIGHT = Sets the font weights of the class level labels for the
| patients-at-risk tables. Default is NORMAL. Options are NORMAL and BOLD.
| 2.5.5.3: Header options
| PARHEADER / NCENSHEADER / NEVENTSHEADER = Creates a sub-title above the corresponding table of values.
| Making this blank will remove the header.
| PARFAMILY = Determines the font of the text in the patients-at-risk subtitle. Default is Albany AMT.
| PARSIZE = Determines the size of the text in the patients-at-risk subtitle. Default is 10pt. Must contain a number and pt.
| PARWEIGHT = Determines the font weight of the text in the patients-at-risk subtitle. Default is normal. Options are bold and normal.
| 2.5.5.4: Line Divider options (When RISKLOCATION=INSIDE)
| RISKDIVIDER = A flag variable to turn off the dividor line between the plot window and the patients at risk table when
| RISKLIST=INSIDE. Default=1, options are 1 or 0.
| RISKDIVCOLOR = Sets the color of the RISKDIVIDER line. Default=black.
| RISKDIVSTYLE = Sets the line style of the RISKDIVIDER line. Default=solid. Values can be numbers from 1-46 or values such as: shortdash,
| mediumdash, longdash, dashdashdot, dash, dot, thindot.
| 2.5.6: Reference Line Options
| REFLINES = Indicates which time-point referencelines are requested at. The options are TIMEPOINTS for
| the times listed in the TIMELIST parameter and MEDIANS for the median time-to-event times.
| The default is the null value, which will prevent any reference lines from showing.
| REFLINEMETHOD = Sets the type of reference line. Options are FULL for lines that go from one of the axis
| to the other and DROP for lines that go from the Kaplan-Meier curves to the axis. Default is DROP.
| REFLINEAXIS = Sets the axis that the reference lines are based off of. The options are X, Y and Both. Default is X.
| REFLINESIZE = Sets the line thickness for the reference lines. Default is 1pt.
| REFLINEPATTERN = Sets the pattern for the reference lines. The default is 2 (for dashed lines).
| Options are to do numbers between 1 and 46, or: SOLID, SHORTDASH, MEDIUMDASH, LONGDASH,
| MEDIUMDASHSHORTDASH, DASHDASHDOT, DASHDOTDOT, DASH, LONGDASHSHORTDASH, DOT, THINDOT, SHORTDASHDOT, and MEDIUMDASHDOTDOT.
| REFLINECOLOR = Sets the color of the reference lines. Default is grey.
| 2.5.7: Confidence Interval Options
| 2.5.7.1: Enable Options
| PLOTCI = Determines if confidence bounds will be drawn. Options are 0 (No), 1 (Yes), and 2 (Auto). Setting 2 will
| enable confidence bounds on plots without a CLASS variable but not on plots with a CLASS variable.
| Default is 2.
| PLOTCIFILL = Determines if a band plot will be drawn to fill in the space between the confidence intervals. Options
| are 0 (No) and 1 (Yes). Default is 1.
| 2.5.7.2: Line Options
| PLOTCILINESIZE = Sets the thickness of the confidence interval lines. Setting this to zero will cause the lines to not show,
| but the fill can still be enabled. Default is 0pt.
| PLOTCILINECOLOR = Sets the colors for the confidence lines. Default is null. Leaving this option null will cause the colors
| to match the plot lines from the COLOR parameter. Otherwise 1 color must be specified per CLASS
| group (e.g. Black Red Blue).
| PLOTCILINEPATTERN = Sets the pattern of the confidence interval lines. Default is null. Leaving this option null will cause the patterns
| to match the plot lines from the PATTERN parameter. Otherwise 1 pattern must be specified per CLASS
| group (e.g. 1 2 3), or one pattern must be specified to be applied to all. Default is 2 (for dashed lines).
| Options are to do numbers between 1 and 46, or: SOLID, SHORTDASH, MEDIUMDASH, LONGDASH,
| MEDIUMDASHSHORTDASH, DASHDASHDOT, DASHDOTDOT, DASH, LONGDASHSHORTDASH,
| DOT, THINDOT, SHORTDASHDOT, and MEDIUMDASHDOTDOT.
| 2.5.7.3: Fill Options
| PLOTCIFILLCOLOR = Sets the colors for the band plots. Default is null. Leaving this option null will cause the colors
| to match the plot lines from the COLOR parameter. Otherwise 1 color must be specified per CLASS
| group (e.g. Black Red Blue).
| PLOTCIFILLTRANSPARENCY = Sets the transparency of the band plots. This will cause the fill to be more see-through and the graphs
| to be less cluttered. Must be a number between 0 and 1, larger numbers are more transparent.
| Default is 0.95.
| 2.5.8: Grid Line Options
| GRIDLINES = Determines if gridlines will be drawn on the x and/or y axes. Will be drawn at tick values.
| 1 is yes and 0 is no. Default is 0.
| NOTE: This will make the background of the STAT table to be opaque.
| GRIDLINE_AXIS = Determines which axes have gridlines drawn. Options are X, Y, and BOTH. Default is BOTH
| GRIDLINE_COLOR = Determines the color of the gridlines. Default is GREY.
| GRIDLINE_SIZE = Determines the size/thickness of the gridlines. Default is 1pt.
| GRIDLINE_PATTERN = Determines the pattern of the gridlines. Default is SOLID.
| Options are to do numbers between 1 and 46, or: SOLID, SHORTDASH, MEDIUMDASH, LONGDASH,
| MEDIUMDASHSHORTDASH, DASHDASHDOT, DASHDOTDOT, DASH, LONGDASHSHORTDASH,
| DOT, THINDOT, SHORTDASHDOT, and MEDIUMDASHDOTDOT.
| 2.5.9: Image Options
| AXISCOLOR = Sets the color for the axes and border. Default is black.
| BACKGROUND = Sets the color for the background. Ignored if TRANSPARENT=1. Default is white.
| BORDER = Turns the black border in the plot image on (1) or off (0). Options are
| 1 or 0, default is 1.
| FONTCOLOR = Determines the color for the graph text. Default is black
| SHOWWALLS = Flag indicator to turn the top and right walls of the plot border
| on (1) or off (0). Default is 1, options are 0 and 1.
| TRANSPARENT = Determines if the background will be transparent. Only available in 9.4M3+.
| Default is 0 (no). Options are 1 (yes) and 0 (no).
| 2.5.10: Lattice (Multiple graph) Options
| COLUMNS = Sets the number of columns in a plot lattice
| ROWS = Sets the number of rows in a plot lattice
| NOTE: ROWS and COLUMNS should be set to be able to contain the number of models
| specified by NMODELS.
| ORDER = sets the order that plots are placed into a lattice. Options are
| columnmajor and rowmajor. Rowmajor fills rows first. Columnmajor fills
| columns first. Default is rowmajor.
| 2.6: Table Summary (Not related to plot) Options
| 2.6.1: Display Options
| TABLEDISPLAY = Controls the columns displayed in the table summary.
| Options are:
| TITLE: Shows the titles from the TITLE parameter (See plot section)
| FOOTNOTE: Shows the titles from the FOOTNOTE parameter (See plot section)
| TOTAL: Total sample size
| EVENT: Total number of events
| EV_N: Combined events and total in the format EVENTS/Total
| N_EV: Combined events and total in the format TOTAL (EVENTS)
| MEDIAN: Median time-to-event and confidence interval
| TIMELIST: Time-point event-free rates, confidence intervals, and time-points
| HR: Hazard ratio and confidence interval
| PVAL: P-value specified by the PLOTPVAL parameter
| COVPVAL: P-value from Cox model parameters table
| CINDEX: C-index from the Cox model (not available for CIF methods)
| The following statistics can have the MV suffix added to get the multivariate versions
| when CLASSCOV or CONTCOV is specified:
| EVENTMV, EV_NMV, N_EVMV, HRMV, PVALMV, COVPVALMV, and CINDEXMV
| The desired list of outputted columns should be listed with each parameter separated by a space.
| Statistics are printed in the table in the order they are listed.
| Default=title footnote ev_n median hr timelist pval.
| TABLESHADING = Flag variable to turn alternating shading on or off within the table
| summary. 1 is on and 0 is off. Default is 1.
| TABLETITLE = Creates a title at the top of the summary table.
| TABLEFOOTNOTE = Creates a footnote at the end of the summary table. Use a ` to
| designate a line break to create multiple footnotes.
| 2.6.2: Statistical Column Options
| 2.6.2.1: Font Options
| TABLEDATAFAMILY = Determines the font for the area between the headers and footnotes.
| Default is Arial.
| TABLEDATASIZE = Determines the font size for the area between the headers and footnotes.
| Default is 9pt.
| TABLEDATAWEIGHT = Determines the font weight for the area between the headers and footnotes.
| Default is medium. Options are medium and bold.
| TABLEFOOTNOTEFAMILY = Determines the font for the footnotes. Default is Arial.
| TABLEFOOTNOTESIZE = Determines the font size for the footnotes. Default is 10pt.
| TABLEFOOTNOTEWEIGHT = Determines the font weight for the footnotes.
| Default is medium. Options are medium and bold.
| TABLEHEADERFAMILY = Determines the font for the headers. Default is Arial.
| TABLEHEADERSIZE = Determines the font size for the headers. Default is 10pt.
| TABLEHEADERWEIGHT = Determines the font weight for the headers.
| Default is bold. Options are medium and bold.
| 2.6.2.2: Header Options
| TprefixHEADER = The header for each item in DISPLAY can be modified by entering T, the
| DISPLAY item, and then HEADER. Options are:
| TTOTALHEADER, TEVENTHEADER, TEV_NHEADER, TN_EVHEADER, TMEDIANHEADER,
| TTIMELISTHEADER, THRHEADER, TPVALHEADER, TCOVPVALHEADER, TCINDEXHEADER,
| TTOTALMVHEADER, TEVENTMVHEADER, TEV_NMVHEADER, TN_EVMVHEADER,
| THRMVHEADER, TPVALMVHEADER, TCOVPVALMVHEADER, TCINDEXMVHEADER
| NOTE: The ^n character acts as a line break.
| 2.6.2.3: Width Options
| TprefixWIDTH = The column width for each item in DISPLAY can be modified by entering T, the
| DISPLAY item, and then WIDTH. Options are:
| TTOTALWIDTH, TEVENTWIDTH, TEV_NWIDTH, TN_EVWIDTH, TMEDIANWIDTH,
| TTIMELISTWIDTH, THRWIDTH, TPVALWIDTH, TCOVPVALWIDTH, TCINDEXWIDTH,
| TTOTALMVWIDTH, TEVENTMVWIDTH, TEV_NMVWIDTH, TN_EVMVWIDTH,
| THRMVWIDTH, TPVALMVWIDTH, TCOVPVALMVWIDTH, TCINDEXMVWIDTH
| TSUBTITLEWIDTH controls the width of the first column that contains
| the CLASS variable levels.
| NOTE: Widths should be entered with a unit of measure such as in (inches).
| 2.6: Macro Debugging Options
| DEBUG = Determines if temporary datasets are deleted and notes are turned off. Options are:
| 0: No notes are displayed and temporary datasets are deleted (Default)
| 1: Notes are displayed and temporary datasets are left behind. MPRINT is also turned on.
*------------------------------------------------------------------*
| OPERATING SYSTEM COMPATIBILITY
| UNIX SAS v9.4M3 : YES
| PC SAS v9.4M3 : YES
*------------------------------------------------------------------*
| MACRO CALL
|
| %newsurv (
| DATA=,
| TIME=,
| CENS=,
| CEN_VL=
| );
*------------------------------------------------------------------*
| REQUIRED PARAMETERS
|
| Name : DATA
| Default :
| Type : Dataset Name
| Purpose : REFER TO REFERENCE SECTION
|
| Name : TIME
| Default :
| Type : Variable Name
| Purpose : REFER TO REFERENCE SECTION
|
| Name : CENS
| Default :
| Type : Variable Name
| Purpose : REFER TO REFERENCE SECTION
|
| Name : CEN_VL
| Default :
| Type : Variable Name
| Purpose : REFER TO REFERENCE SECTION
|
| Name : METHOD
| Default :
| Type : Variable Name
| Purpose : REFER TO REFERENCE SECTION
|
| Name : EV_VL
| Default :
| Type : Variable Name
| Purpose : REFER TO REFERENCE SECTION
|
*------------------------------------------------------------------*
| EXAMPLES (MUST BE RUN IN 9.3+ AS SASHELP.BMT DOES NOT EXIST IN 9.2)
|
| Example 1: Basic Example Call:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0);
| Example 2: Call with Class Variable:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=Group);
| Example 3: Call with Class Variable and more options:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=group,
classref=ALL,summary=0, plot=1,xmin=0, xmax=2500,ptabsize=7pt,
xincrement=500,symbolsize=5pt,
xlabel=Time (Days), ylabel=Proportion Alive,autoalign=topright,
title=Example 3,ytype=ppt,color=BLACK BLUE RED);
| Example 4: Call with Patients-At-Risk table within Plot Window:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=group,
summary=0, risklist=0 to 2500 by 500, risklocation=INSIDE,
xmin=0, xmax=2500, xincrement=500,outp=test);
| Example 5: Call with Patients-At-Risk table below Plot Window:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=group,
summary=0, risklist=0 to 2500 by 500, risklocation=BOTTOM,
xmin=0, xmax=2500, xincrement=500,risklabellocation=above);
| Example 6: Call with Kaplan-Meier Time-Point Estimates:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=group,
summary=0, timelist=1000 2000, timedx=Days);
| Example 7: Call with a basic lattice set-up:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=|group,
nmodels=2,summary=0,height=8in,rows=2,xdivisor=365.25,
title=Overall Survival|Overall Survival by Disease Group);
| Example 8: Call with confidence intervals:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=group,
summary=0,height=4in,xdivisor=365.25,plotci=1,color=black red blue);
| Example 9: Call with reference lines:
| %newsurv(data=sashelp.bmt, time=T, cens=STATUS, cen_vl=0,class=group,
summary=0,height=4in,xdivisor=365.25,reflines=medians,reflineaxis=both);
|**Example dataset for CIF Examples:
proc format;
value grpLabel 1='ALL' 2='AML low risk' 3='AML high risk';
run;
data BMT;
input DIAGNOSIS Ftime Status Gender@@;
label Ftime="Days";
format Diagnosis grpLabel.;
datalines;
1 2081 0 1 1 1602 0 1
1 1496 0 1 1 1462 0 0
1 1433 0 1 1 1377 0 1
1 1330 0 1 1 996 0 1
1 226 0 0 1 1199 0 1
1 1111 0 1 1 530 0 1
1 1182 0 0 1 1167 0 0
1 418 2 1 1 383 1 1
1 276 2 0 1 104 1 1
1 609 1 1 1 172 2 0
1 487 2 1 1 662 1 1
1 194 2 0 1 230 1 0
1 526 2 1 1 122 2 1
1 129 1 0 1 74 1 1
1 122 1 0 1 86 2 1
1 466 2 1 1 192 1 1
1 109 1 1 1 55 1 0
1 1 2 1 1 107 2 1
1 110 1 0 1 332 2 1
2 2569 0 1 2 2506 0 1
2 2409 0 1 2 2218 0 1
2 1857 0 0 2 1829 0 1
2 1562 0 1 2 1470 0 1
2 1363 0 1 2 1030 0 0
2 860 0 0 2 1258 0 0
2 2246 0 0 2 1870 0 0
2 1799 0 1 2 1709 0 0
2 1674 0 1 2 1568 0 1
2 1527 0 0 2 1324 0 1
2 957 0 1 2 932 0 0
2 847 0 1 2 848 0 1
2 1850 0 0 2 1843 0 0
2 1535 0 0 2 1447 0 0
2 1384 0 0 2 414 2 1
2 2204 2 0 2 1063 2 1
2 481 2 1 2 105 2 1
2 641 2 1 2 390 2 1
2 288 2 1 2 421 1 1
2 79 2 0 2 748 1 1
2 486 1 0 2 48 2 0
2 272 1 0 2 1074 2 1
2 381 1 0 2 10 2 1
2 53 2 0 2 80 2 0
2 35 2 0 2 248 1 1
2 704 2 0 2 211 1 1
2 219 1 1 2 606 1 1
3 2640 0 1 3 2430 0 1
3 2252 0 1 3 2140 0 1
3 2133 0 0 3 1238 0 1
3 1631 0 1 3 2024 0 0
3 1345 0 1 3 1136 0 1
3 845 0 0 3 422 1 0
3 162 2 1 3 84 1 0
3 100 1 1 3 2 2 1
3 47 1 1 3 242 1 1
3 456 1 1 3 268 1 0
3 318 2 0 3 32 1 1
3 467 1 0 3 47 1 1
3 390 1 1 3 183 2 0
3 105 2 1 3 115 1 0
3 164 2 0 3 93 1 0
3 120 1 0 3 80 2 1
3 677 2 1 3 64 1 0
3 168 2 0 3 74 2 0
3 16 2 0 3 157 1 0
3 625 1 0 3 48 1 0
3 273 1 1 3 63 2 1
3 76 1 1 3 113 1 0
3 363 2 1
;
run;
| Example 10: Example using the CIF method (run above data step first)
| %newsurv(data=bmt, time=ftime, cens=STATUS, cen_vl=0,ev_vl=1,
method=cif,class=diagnosis,height=4in,
summary=0, risklist=0 to 2500 by 500, risklocation=BOTTOM,
xmin=0, xmax=2500, xincrement=500,risklabellocation=left,
timelist=250 500, timedx=Days,parheader=);
*------------------------------------------------------------------*
| REFERENCES
| The code for the CIF method is transcribed from the SAS autocall
| macro %CIF. The code was originally written primarily in IML,
| so within this macro it was rewritten in data step language
| instead. The references within the %CIF macro are as follows:
| 1. Marubini, E. and Valsecchi, M.G. (1995), Analysing survival data from clinical trials
| and observational studies, John Wiley.
| 2. Gray, R.J. (1988). "A class of K-sample tests for comparing the cumulative incidence of
| a competing risk," Annals of statistics, 16(3), 1141--1154.
| 3. Klein, J.P. and Moeschberger, M.L., (2003), Survival analysis: techniques for censored
| and truncated data, Springer Verlag.
| Methods for calculating concordance index and standard error in Cox
| proportional hazards regression taken from:
| Therneau T (2014). _A Package for Survival Analysis in S_. R package
| version 2.37-7, <URL: http://CRAN.R-project.org/package=survival>.
|
| Terry M. Therneau and Patricia M. Grambsch (2000). _Modeling Survival
| Data: Extending the Cox Model_. Springer, New York. ISBN
| 0-387-98784-3.
|
| Therneau TM, Crowson CS, Atkinson EJ. 2015. Adjusted Survival Curves.
| https://cran.r-project.org/web/packages/survival/vignettes/adjcurve.pdf.
| Accessed October 31, 2015.
*------------------------------------------------------------------*
| This program is free software; you can redistribute it and/or
| modify it under the terms of the GNU General Public License as
| published by the Free Software Foundation; either version 2 of
| the License, or (at your option) any later version.
|
| This program is distributed in the hope that it will be useful,
| but WITHOUT ANY WARRANTY; without even the implied warranty of
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
| General Public License for more details.
*------------------------------------------------------------------*/
%macro newsurv(
/*** 1.0: Required Variables ***/
cens=,cen_vl=0,data=,ev_vl=,method=KM, time=,
/*** 2.0: Optional Variables ***/
/** 2.1: Global Options **/
/* 2.1.1: Output Controlling Options*/
border=1,destination=rtf,newtable=1,out=,outdoc=,
outp=,plot=1,summary=1,plot_unadjust=1,
/* 2.1.2: Image Controlling Options*/
antialiasmax=1000,axiscolor=black,background=white,dpi=200,
fontcolor=black,gpath=,height=6in,plotname=_surv,plottype=png,
svg=0,tiffdevice=TIFFP,transparent=0,width=8in,
/* 2.1.3: Lattice Controlling Options*/
columns=1,nmodels=1,order=columnmajor,rows=1,rowgutter=0,columngutter=0,
/** 2.2: Class Variables **/
class=,classcov=,classdesc=,classorder=,
classref=,contcov=,desc=0,hrties=BRESLOW,plotpval=,
refhrtext=Reference,refptext=--,strata=,plotpvalmv=,
/** 2.3: Dataset Modifiers **/
landmark=,xdivisor=, where=,
/** 2.4: Patient Kaplan-Meier Time-point Estimate Options **/
alpha=0.05,cifvar=COUNT,conftype=LOG,timelist=,
/** 2.5: Plot Options **/
/* 2.5.1: Axis Options*/
lfamily=Arial,lsize=10pt,lweight=bold,showwalls=1,
xincrement=,xlabel=,xmax=,xmaxoffset=,xmin=0,xminoffset=,
xtickvalfamily=Arial,xtickvalsize=8pt,xtickvalweight=normal,
yincrement=,ylabel=,ymax=,ymaxoffset=,ymin=0,yminoffset=0,
ytickvalfamily=Arial,ytickvalsize=8pt,ytickvalweight=normal,ytype=pct,
/* 2.5.2: Plot Statistal Table Options*/
autoalign=topright bottomleft,classvalalign=center,
cindexheader=,cindexmvheader=,
covpvalheader=Wald P-value,covpvalmvheader=Adj Wald P-value,
display=standard,legendlinelength=,
ev_nheader=Events/Total,eventheader=Event,hrheader=/*HR (95% CI)*/,KMEstheader=/*KM Est (95% CI)*/,
legendheader=%str( ),location=inside,medianheader=/*Median (95% CI)*/,n_evheader=Total (Events),
totalmvheader=MV Total,eventmvheader=MV Event,hrmvheader=/*Adj HR (95% CI)*/,
ev_nmvheader=MV Events/Total,n_evmvheader=MV Total (Events),pvalmvheader=,
ptabsize=8pt, ptabfamily=Albany AMT,pvalheader=,risktableheader=N at Risk,statcolor=0,tablecomments=,
timedx=,listtimepoints=1,timelistheader=Time-Point,totalheader=Total,
/* 2.5.3: Patients-at-Risk Options*/
paralign=CENTER,parfamily=Albany AMT,parheader=Patients-at-Risk,parsize=10pt,parweight=normal,
ncensheader=No. Cumulative Censors,neventsheader=No. Cumulative Events,pardisplay=par,
riskcolor=0,riskdivcolor=black,riskdivider=1,riskdivstyle=solid,
risklabelalign=LEFT,risklabeldlm=,risklabellocation=LEFT,risklabelweight=normal,
risklist=,risklocation=bottom,riskrowweights=0.025,uniformheight=0,
/* 2.5.4: Plot Lines/Symbols Options*/
censormarkers=1,color=black,linesize=1pt,pattern=AUTO,pattern_adjust=auto,
sreverse=0, symbolsize=3pt,symbolweight=normal,
/*2.5.5: Title/Footnote Options*/
fnfamily=Albany AMT,fnsize=8pt,fnweight=normal,
footnote=, footnotealign=left,
ovfnfamily=Albany AMT,ovfnsize=8pt,ovfnweight=normal,
ovfootnote=,ovfootnotealign=left,
ovtfamily=Albany AMT,ovtitle=,ovtitlealign=center,ovtsize=12pt,ovtweight=bold,
tfamily=Albany AMT,title=, titlealign=center,
tsize=12pt,tweight=bold,
/* 2.5.4: Reference Line Options*/
reflines=,reflinesize=1pt,reflinepattern=2,reflinecolor=grey,reflinemethod=drop,reflineaxis=X,
/* 2.5.5: Confidence Interval Options*/
plotci=2,plotcifill=1,plotcifillcolor=,plotcifilltransparency=0.95,
plotcilinecolor=,plotcilinesize=1pt,plotcilinepattern=2,
/* Grid line Options*/
gridlines=0, gridline_axis=both, gridline_color=grey, gridline_size=1pt,gridline_pattern=solid,
/** 2.6: Optional Table Summary Options **/
/* 2.6.1: Display Options */
tablemergepval=0,tablefootnote=,
tabledisplay=standard,
tableshading=1,tabletitle=,
/* 2.6.2: Font Options */
tabledatafamily=Arial,tabledatasize=9pt,tabledataweight=medium,
tablefootnotefamily=Arial,tablefootnotesize=10pt,tablefootnoteweight=medium,
tableheaderfamily=Arial,tableheadersize=10pt,tableheaderweight=bold,
/* 2.6.3: Column Heading Options*/
tcovpvalheader=Covariate Level~P-values,tcovpvalmvheader=Adjusted~Covariate Level~P-values,
teventheader=Event,teventmvheader=MV Event,tev_nheader=Event/Total,tev_nmvheader=MV Event/Total,
tn_evheader=Total (Events),tn_evmvheader=MV Total (Events),
thrheader=,thrmvheader=,
ttimelistheader=,
ttimelistmvheader=,
tmedianheader=,tmedianmvheader=,
tpvalheader=P-value,tpvalmvheader=Adjusted~P-value,
ttotalheader=Total,ttotalmvheader=MV Total,
tcindexheader=,tcindexmvheader=,
/* 2.6.4: Column Width Options */
tsubtitlewidth=2in,
tcovpvalwidth=0.7in,tcovpvalmvwidth=0.7in,
ttotalwidth=0.5in,teventwidth=0.5in,tev_nwidth=1in,tn_evwidth=1in,
ttotalmvwidth=0.5in,teventmvwidth=0.5in,tev_nmvwidth=1in,tn_evmvwidth=1in,
thrwidth=1.1in,thrmvwidth=1.1in,tmedianwidth=1.3in,tmedianmvwidth=1.3in,
tpvalwidth=0.7in,tpvalmvwidth=0.7in,ttimelistwidth=1.6in,ttimelistmvwidth=1.6in,
tcindexwidth=1.1in,tcindexmvwidth=1.1in,
/* 2.7: Statistic Significant Digits Options */
pvaldigits=4,hrdigits=2,mediandigits=1,kmestdigits=auto,cindexdigits=2,
/* 2.8: Debugging Options */
debug=0);
/**Save current options to reset after macro runs**/
%local _mergenoby _notes _qlm _odspath _starttime _device _gsfname _mprint
_xmax _ymax _xpixels _ypixels _imagestyle _iback _listing _linesize _center _gborder _msglevel;
%let _starttime=%sysfunc(time());
%let _notes=%sysfunc(getoption(notes));
%let _mergenoby=%sysfunc(getoption(mergenoby));
%let _qlm=%sysfunc(getoption(quotelenmax));
%let _device=%sysfunc(getoption(device));
%let _gsfname=%sysfunc(getoption(gsfname));
%let _xmax=%sysfunc(getoption(xmax));
%let _ymax=%sysfunc(getoption(ymax));
%let _xpixels=%sysfunc(getoption(xpixels));
%let _ypixels=%sysfunc(getoption(ypixels));
%let _imagestyle=%sysfunc(getoption(imagestyle));
%let _gborder=%sysfunc(getoption(border));
%let _iback=%sysfunc(getoption(iback));
%let _linesize=%sysfunc(getoption(linesize));
%let _center=%sysfunc(getoption(center));
%let _msglevel=%sysfunc(getoption(msglevel));
%let _mprint=%sysfunc(getoption(mprint));
%let _odspath=&sysodspath;
%if %sysevalf(%superq(_odspath)=,boolean) %then %let _odspath=WORK.TEMPLAT(UPDATE) SASHELP.TMPLMST (READ);
/**Turn off warnings for merging without a by and long quote lengths**/
/**Turn off notes**/
options mergenoby=NOWARN nonotes noquotelenmax msglevel=N;
ods path WORK.TEMPLAT(UPDATE) SASHELP.TMPLMST (READ);
/*Don't send anything to output window, results window, and set escape character*/
ods select none;
ods noresults escapechar='^';
/**Process Error Handling**/
%if &sysvlong < 9.04.01M3P062415 %then %do;
%put ERROR: SAS must be version 9.4M3 or later;
%goto errhandl;
%end;
%else %if %sysfunc(exist(&data))=0 %then %do;
%put ERROR: Dataset &data does not exist;
%put ERROR: Please enter a valid dataset;
%goto errhandl;
%end;
%else %if %sysevalf(%superq(data)=,boolean)=1 %then %do;
%put ERROR: DATA parameter is required;
%put ERROR: Please enter a valid dataset;
%goto errhandl;
%end;
/**Pull dataset information**/
proc contents data=&data out=_temp noprint;
run;
/**See if the listing output is turned on**/
proc sql noprint;
select 1 into :_listing separated by '' from sashelp.vdest where upcase(destination)='LISTING';
quit;
/**Create list of macro variables that can vary across different models called**/
/**Sets up for lattice plots**/
%local _mvarlist;
%let _mvarlist=%sysfunc(compress(alpha|autoalign|
cens|cen_vl|censormarkers|class|classcov|classdesc|
classorder|classref|classvalalign|cifvar|color|conftype|contcov|covpvalheader|covpvalmvheader|
desc|display|ev_nheader|ev_nmvheader|ev_vl|eventheader|eventmvheader|fnfamily|fnsize|fnweight|footnote|
footnotealign|hrheader|hrmvheader|hrties|KMEstheader|
landmark|legendheader|legendlinelength|lfamily|linesize|listtimepoints|location|lsize|lweight|medianheader|
method|n_evheader|n_evmvheader|paralign|parfamily|parheader|parsize|parweight|
pattern|plotci|plotcifill|plotcifillcolor|plotcifilltransparency|
plotcilinecolor|plotcilinesize|plotcilinepattern|
plotpval|plotpvalmv|pvalheader|pvalmvheader|ptabfamily|ptabsize|refhrtext|refptext|
riskcolor|riskdivcolor|riskdivider|riskdivstyle|risklabelalign|risklabeldlm|risklabellocation|
risklabelweight|risklist|risklocation|riskrowweights|risktableheader|sreverse|statcolor|strata|symbolsize|symbolweight|tablecomments|
tfamily|time|timedx|timelist|timelistheader|title|titlealign|totalheader|totalmvheader|tsize|tweight|
where|xdivisor|xincrement|xlabel|xmax|xmaxoffset|xmin|xminoffset|
reflinecolor|reflinemethod|reflinepattern|reflines|reflinesize|reflineaxis|
xtickvalfamily|xtickvalsize|xtickvalweight|
ylabel|yincrement|ymax|ymaxoffset|ymin|yminoffset|ytickvalfamily|ytickvalsize|ytickvalweight|ytype|
pvaldigits|hrdigits|mediandigits|kmestdigits|ncensheader|neventsheader|pardisplay|
cindexheader|cindexmvheader|cindexdigits|gridlines|gridline_axis|gridline_color|gridline_size|gridline_pattern|plot_unadjust|pattern_adjust));
%local i j;
%do i = 1 %to &nmodels;
/**Cycle through each macro parameter**/
%do j = 1 %to %sysfunc(countw(&_mvarlist,|));
%local v&j;
%let v&j=%scan(%superq(_mvarlist),&j,|);
%local &&v&j..&i;
/**If the | delimiter is detected, assign the different values between | to numbered parameters**/
/**Else Assign the same value to all numbered parameters**/
%if %index(%superq(&&v&j),|)>0 %then %let &&v&j..&i=%qscan(%superq(&&v&j),&i,|,m);
%else %let &&v&j..&i=%qscan(%superq(&&v&j),1,|,m);
%end;
%end;
%local z nerror;
%let nerror=0;
/**Error Handling on Individual Model Variables**/
%macro _varcheck(var,require,numeric);
%local _z _numcheck;
%do z = 1 %to &nmodels;
/**Check if variable parameter is missing**/
%if %sysevalf(%superq(&var.&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%superq(&var.&z))) > 0 %then
%do _z = 1 %to %sysfunc(countw(%superq(&var.&z),%str( )));
/**Check to make sure variable names are not just numbers**/
%local datid;
/**Open up dataset to check for variables**/
%let datid = %sysfunc(open(&data));
/**Check if variable exists in dataset**/
%if %sysfunc(varnum(&datid,%scan(%superq(&var.&z),&_z,%str( )))) = 0 %then %do;
%put ERROR: (Model &z: %qupcase(&var)) Variable %qupcase(%scan(%superq(&var.&z),&_z,%str( ))) does not exist in dataset &data;
%local closedatid;
/**Close dataset**/
%let closedatid=%sysfunc(close(&datid));
%let nerror=%eval(&nerror+1);
%end;
%else %do;
%local closedatid;
%let closedatid=%sysfunc(close(&datid));
%if &numeric=1 %then %do;
data _null_;
set &data (obs=1);
call symput('_numcheck',strip(vtype(%superq(&var.&z))));
run;
%if %sysevalf(%superq(_numcheck)^=N,boolean) %then %do;
%put ERROR: (Model &z: %qupcase(&var)) Variable must be numeric;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
%end;
%else %do;
/**Give error message if variable name is number**/
%put ERROR: (Model &z: %qupcase(&var)) Variable is not a valid SAS variable name (%superq(&var.&z));
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if &require=1 %then %do;
/**Give error if required variable is missing**/
%put ERROR: (Model &z: %qupcase(&var)) Variable is a required variable but has no value;
%let nerror=%eval(&nerror+1);
%end;
%end;
%mend;
/**Check time variables**/
%_varcheck(time,1,1)
/**Censor Variables**/
%_varcheck(cens,1,1)
/**Class Variables**/
%_varcheck(class,0)
%local z;
%do z = 1 %to &nmodels;
%if (%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT) and
(%sysevalf(%superq(class&z)=,boolean) or (%sysevalf(%superq(classcov&z)=,boolean) and %sysevalf(%superq(contcov&z)=,boolean))) %then %do;
/**Give error message**/
%if %sysevalf(%superq(class&z)=,boolean) %then %put ERROR: (Model &z: %qupcase(METHOD)) CLASS cannot be missing when METHOD=%qupcase(&&method&z);
%if %sysevalf(%superq(classcov&z)=,boolean) and %sysevalf(%superq(contcov&z)=,boolean) %then
%put ERROR: (Model &z: %qupcase(METHOD)) CLASSCOV and CONTCOV cannot both be missing when METHOD=%qupcase(&&method&z);
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Strata Variables**/
%_varcheck(strata,0)
/**Class Type Covariate Variables**/
%_varcheck(classcov,0)
/**Continuous Type Covariate Variables**/
%_varcheck(contcov,0)
/**Landmark Variables**/
%do z = 1 %to &nmodels;
/**Check if variable parameter is missing**/
%if %sysevalf(%superq(landmark&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(landmark&z),.-)))) > 0 %then %do;
/*Check if number is first digit*/
%if %sysfunc(anydigit(%sysfunc(compress(%superq(landmark&z),.-)))) = 1 %then %do;
%put ERROR: (Model &z: %qupcase(landmark)) Must be a valid variable name or a number greater than 0. %qupcase(%superq(landmark&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %do;
/**Check to make sure variable names are not just numbers**/
%local datid;
/**Open up dataset to check for variables**/
%let datid = %sysfunc(open(&data));
/**Check if variable exists in dataset**/
%if %sysfunc(varnum(&datid,%superq(landmark&z))) = 0 %then %do;
%put ERROR: (Model &z: %qupcase(landmark)) Variable %qupcase(%superq(landmark&z)) does not exist in dataset &data;
%local closedatid;
/**Close dataset**/
%let closedatid=%sysfunc(close(&datid));
%let nerror=%eval(&nerror+1);
%end;
%else %do;
%local closedatid;
%let closedatid=%sysfunc(close(&datid));
%end;
%end;
%end;
%else %if %superq(landmark&z) lt 0 %then %do;
/**Check if value is below minimum threshold**/
%put ERROR: (Model &z: %qupcase(landmark)) Must be greater than 0. %qupcase(%superq(landmark&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
/**Error Handling on Individual Model Parameters Involving units**/
%macro _unitcheck(parm,allowmissing);
%do z = 1 %to &nmodels;
%if %sysevalf(%superq(&parm.&z)=,boolean)=1 %then %do;
%if %sysevalf(&allowmissing^=1,boolean) %then %do;
/**Check for missingness**/
%put ERROR: (Model &z: %qupcase(&parm)) Cannot be set to missing;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if %sysfunc(compress(%superq(&parm.&z),ABCDEFGHIJKLMNOPQRSTUVWXYZ,i)) lt 0 %then %do;
/**Check if value is less than zero**/
%put ERROR: (Model &z: %qupcase(&parm)) Cannot be less than zero (%qupcase(%superq(&parm.&z)));
%let nerror=%eval(&nerror+1);
%end;
%end;
%mend;
/**Font Sizes**/
/*Y Tick Value Font Size**/
%_unitcheck(ytickvalsize)
/**X Tick Value Font Size**/
%_unitcheck(xtickvalsize)
/***Label Font Size**/
%_unitcheck(lsize)
/**Plot Table Font Size**/
%_unitcheck(ptabsize)
/**Title Font Size**/
%_unitcheck(tsize)
/**Footnote Font Size**/
%_unitcheck(fnsize)
/***Patients-at-Risk Header Font Size**/
%_unitcheck(parsize)
/**Plot Line Size**/
%_unitcheck(linesize)
/**Grid Line Size**/
%_unitcheck(gridline_size)
/**Plot Symbol Size**/
%_unitcheck(symbolsize)
/**Plot Confidence Bounds Line Size**/
%_unitcheck(plotcilinesize)
/**Plot Reference Line Size**/
%_unitcheck(reflinesize)
/**Plot Reference Line Size**/
%_unitcheck(legendlinelength,1)
/**Error Handling on Individual Model Numeric Variables**/
%macro _numcheck(parm,min,contain,default,max);
%do z = 1 %to &nmodels;
/**Check if missing**/
%if %sysevalf(%superq(&parm.&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(&parm.&z),-.)))) > 0 %then %do;
/**Check if character values are present**/
%put ERROR: (Model &z: %qupcase(&parm)) Must be numeric. %qupcase(%superq(&parm.&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) le &min and &contain=0 %then %do;
/**Check if value is below minimum threshold**/
%put ERROR: (Model &z: %qupcase(&parm)) Must be greater than &min.. %qupcase(%superq(&parm.&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) lt &min and &contain=1 %then %do;
/**Check if value is below minimum threshold**/
%put ERROR: (Model &z: %qupcase(&parm)) Must be greater than or equal to &min.. %qupcase(%superq(&parm.&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %sysevalf(%superq(max)^=,boolean) %then %do;
%if %superq(&parm.&z) gt &max and &contain=1 %then %do;
/**Check if value is above maximum threshold**/
%put ERROR: (Model &z: %qupcase(&parm)) Must be less than or equal to &max.. %qupcase(%superq(&parm.&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) ge &max %then %do;
/**Check if value is above maximum threshold**/
%put ERROR: (Model &z: %qupcase(&parm)) Must be less than &max.. %qupcase(%superq(&parm.&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
%else %let &parm.&z=&default;
%end;
%mend;
/**X Axis Minimum Value**/
%_numcheck(xmin,0,1,0)
/**Y Axis Minimum Value**/
%_numcheck(ymin,0,1,0)
/**Alpha Value**/
%_numcheck(alpha,0,0,0.05,1)
%local _test j;
%let _test=1;
%if &nerror=0 %then %do i = 1 %to &nmodels;
/**Check alpha titles**/
%if %sysevalf(%superq(hrheader&i)=,boolean) %then %let hrheader&i=HR (%sysevalf(100-&&alpha&i*100)% CI);
%if %sysevalf(%superq(kmestheader&i)=,boolean) %then %let kmestheader&i=KM Est (%sysevalf(100-&&alpha&i*100)% CI);
%if %sysevalf(%superq(medianheader&i)=,boolean) %then %let medianheader&i=Median (%sysevalf(100-&&alpha&i*100)% CI);
%if %sysevalf(%superq(hrmvheader&i)=,boolean) %then %let hrmvheader&i=Adj HR (%sysevalf(100-&&alpha&i*100)% CI);
%if &i>1 %then %do;
%let j=%sysevalf(&i-1);
%if &&alpha&i^=&&alpha&j %then %let _test=0;
%end;
%if &_test =0 and &summary=1 %then %do;
%put WARNING: ALPHA is not consistent between models. Default column headers containing confidence intervals may not have accurate range;
%if %sysevalf(%superq(thrheader)=,boolean) %then %let thrheader=Hazard Ratio~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(thrmvheader)=,boolean) %then %let thrmvheader=Adjusted~Hazard Ratio~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(ttimelistheader)=,boolean) %then %let ttimelistheader=Survival Estimates~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(ttimelistmvheader)=,boolean) %then %let ttimelistmvheader=Adjusted~Survival Estimates~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tmedianheader)=,boolean) %then %let tmedianheader=Median~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tmedianmvheader)=,boolean) %then %let tmedianmvheader=Adjusted~Median~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tcindexheader)=,boolean) %then %let tcindexheader=C-index~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tcindexmvheader)=,boolean) %then %let tcindexmvheader=Adjusted~C-index~(%sysevalf(100-&alpha1*100)% CI);
%end;
%else %do;
%if %sysevalf(%superq(thrheader)=,boolean) %then %let thrheader=Hazard Ratio~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(thrmvheader)=,boolean) %then %let thrmvheader=Adjusted~Hazard Ratio~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(ttimelistheader)=,boolean) %then %let ttimelistheader=Survival Estimates~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(ttimelistmvheader)=,boolean) %then %let ttimelistmvheader=Adjusted~Survival Estimates~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tmedianheader)=,boolean) %then %let tmedianheader=Median~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tmedianmvheader)=,boolean) %then %let tmedianmvheader=Adjusted~Median~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tcindexheader)=,boolean) %then %let tcindexheader=C-index~(%sysevalf(100-&alpha1*100)% CI);
%if %sysevalf(%superq(tcindexmvheader)=,boolean) %then %let tcindexmvheader=Multivariate~C-index~(%sysevalf(100-&alpha1*100)% CI);
%end;
%end;
/**Censor Value**/
%do z = 1 %to &nmodels;
/**Check if missing**/
%if %sysevalf(%superq(cen_vl&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(CEN_VL&z),.)))) > 0 %then %do;
/**Check if character values are present**/
%put ERROR: (Model &z: %qupcase(CEN_VL)) Must be numeric. %qupcase(%superq(CEN_VL&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %do;
/**Check if character values are present**/
%put ERROR: (Model &z: %qupcase(CEN_VL)) Is Required and cannot be missing;
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Event Code for CIF Method**/
%do z = 1 %to &nmodels;
%if %sysevalf(%qupcase(%superq(method&z))=CIF,boolean) %then %do;
/**Check if missing**/
%if %sysevalf(%superq(ev_vl&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(EV_VL&z),.)))) > 0 %then %do;
/**Check if character values are present**/
%put ERROR: (Model &z: %qupcase(EV_VL)) Must be numeric. %qupcase(%superq(EV_VL&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %do;
/**Check if character values are present**/
%put ERROR: (Model &z: %qupcase(EV_VL)) Is Required and cannot be missing when METHOD=CIF;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
/***Error checking for RISKROWWEIGHTS***/
%do z = 1 %to &nmodels;
/**Check if RISKROWWEIGHTS is missing when RISKLOCATION is set to BOTTOM**/
%if %sysevalf(%superq(riskrowweights&z)=,boolean)=0 and %superq(risklocation&z)=BOTTOM %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(riskrowweights&z),.-)))) %then %do;
%put ERROR: (Model &z: RISKROWWEIGHTS) Must be a numeric value (%superq(riskrowweights&z));
%put ERROR: Macro NEWSURV will cease;
%let nerror=%eval(&nerror+1);
%end;
%else %if %sysevalf(%superq(riskrowweights&z)<0,boolean)=1 or %sysevalf(%superq(riskrowweights&z)>=1.0,boolean)=1 %then %do;
%put ERROR: (Model &z: RISKROWWEIGHTS) Is not between 0 and 1 (%superq(riskrowweights&z));
%put ERROR: Macro NEWSURV will cease;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if %superq(risklocation&z)=BOTTOM %then %do;
%put ERROR: (Model &z: RISKROWWEIGHTS) No risk row weights specified when risklocation=BOTTOM;
%put ERROR: Macro NEWSURV will cease;
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Error Handling on Individual Model Parameters**/
%macro _parmcheck(parm, parmlist,kmlist,ciflist,invwtslist,dirlist);
%do z = 1 %to &nmodels;
%if %sysevalf(%superq(&parm.&z)=,boolean)=0 %then %let &parm.&z=%sysfunc(compress(%qupcase(%superq(&parm.&z)),'""'));
%local _test _z;
%let _test=;
%if %sysevalf(%superq(parmlist)^=,boolean) %then %do;
%do _z=1 %to %sysfunc(countw(&parmlist,|,m));
%if %superq(&parm.&z)=%scan(&parmlist,&_z,|,m) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(&parm)): %superq(&parm.&z) is not a valid value;
%put ERROR: (Model &z: %qupcase(&parm)): Possible values are &parmlist;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %do;
%if %sysevalf(%qupcase(%superq(method&z))=KM,boolean) %then %do;
%do _z=1 %to %sysfunc(countw(&kmlist,|,m));
%if %superq(&parm.&z)=%scan(&kmlist,&_z,|,m) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(&parm)): %superq(&parm.&z) is not a valid value;
%put ERROR: (Model &z: %qupcase(&parm)): Possible values for Kaplan-Meier method are &kmlist;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=CIF,boolean) %then %do;
%do _z=1 %to %sysfunc(countw(&ciflist,|,m));
%if %superq(&parm.&z)=%scan(&ciflist,&_z,|,m) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(&parm)): %superq(&parm.&z) is not a valid value;
%put ERROR: (Model &z: %qupcase(&parm)): Possible values for Competing Risks method are &ciflist;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=INVWTS,boolean) %then %do;
%do _z=1 %to %sysfunc(countw(&invwtslist,|,m));
%if %superq(&parm.&z)=%scan(&invwtslist,&_z,|,m) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(&parm)): %superq(&parm.&z) is not a valid value;
%put ERROR: (Model &z: %qupcase(&parm)): Possible values for Inverse Weights Adjusting method are &invwtslist;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=DIRECT,boolean) %then %do;
%do _z=1 %to %sysfunc(countw(&dirlist,|,m));
%if %superq(&parm.&z)=%scan(&dirlist,&_z,|,m) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(&parm)): %superq(&parm.&z) is not a valid value;
%put ERROR: (Model &z: %qupcase(&parm)): Possible values for Direct Adjusting method are &dirlist;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
%end;
%mend;
/**Method**/
%_parmcheck(method,KM|CIF|INVWTS|DIRECT)
/**Y axis Type**/
%_parmcheck(ytype,PPT|PCT)
/**Risk List Location**/
%_parmcheck(risklocation,|BOTTOM|INSIDE|TIMELIST)
/**Inside Risk List Dividor Line On/Off Option**/
%_parmcheck(riskdivider,0|1)
/**Class Descending Order**/
%_parmcheck(desc,0|1)
/**Grid lines On/Off**/
%_parmcheck(gridlines,0|1)
/**Grid lines Axis**/
%_parmcheck(gridline_axis,X|Y|BOTH)
/**Set possible default differences between KM and CIF methods**/
/**Plot Unadjusted Curves**/
%_parmcheck(plot_unadjust,,1,1,1|0,1|0);
%local z;
%do z = 1 %to &nmodels;
%if %sysevalf(%qupcase(%superq(method&z))=KM) %then %do;
%if %sysevalf(%superq(plotpval&z)=,boolean) %then %let plotpval&z=LOGRANK;
%if %sysevalf(%superq(plotpvalmv&z)=,boolean) %then %let plotpvalmv&z=LR;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=INVWTS) %then %do;
%if %sysevalf(%superq(plotpval&z)=,boolean) %then %let plotpval&z=LOGRANK;
%if %sysevalf(%superq(plotpvalmv&z)=,boolean) %then %let plotpvalmv&z=LOGRANK;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=DIRECT) %then %do;
%if %sysevalf(%superq(plotpval&z)=,boolean) %then %let plotpval&z=LOGRANK;
%if %sysevalf(%superq(plotpvalmv&z)=,boolean) %then %let plotpvalmv&z=LR;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=CIF) %then %do;
%if %sysevalf(%superq(plotpval&z)=,boolean) %then %let plotpval&z=GRAY;
%if %sysevalf(%superq(plotpvalmv&z)=,boolean) %then %let plotpvalmv&z=WALD;
%end;
%end;
/**Confidence Interval Type**/
%_parmcheck(conftype,,LOG|ASINSQRT|LOGLOG|LINEAR|LOGIT,LOG|ASINSQRT|LOGLOG|LINEAR|LOGIT,LOG|ASINSQRT|LOGLOG|LINEAR|LOGIT,LOG|ASINSQRT|LOGLOG|LINEAR|LOGIT)
/**CIF Variance Calculation Method**/
%_parmcheck(cifvar,COUNT|DELTA,COUNT|DELTA)
/**Plot P-Value**/
%_parmcheck(plotpval,,SCORE|LR|LOGRANK|WILCOXON|WALD|%str( ),WALD|GRAY|%str( ),SCORE|LR|LOGRANK|WILCOXON|WALD|%str( ),SCORE|LR|LOGRANK|WILCOXON|WALD|%str( ))
/**Adjusted Plot P-Value**/
%_parmcheck(plotpvalmv,,SCORE|LR|WALD|%str( ),WALD|%str( ),SCORE|LR|LOGRANK|WILCOXON|WALD|%str( ),SCORE|LR|WALD|%str( ))
/**S-Reverse Options**/
%_parmcheck(sreverse,,0|1,0,0,0)
/**Censor Values On/Off Option**/
%_parmcheck(censormarkers,0|1|2)
/**Class Value Align Option**/
%_parmcheck(classvalalign,LEFT|CENTER|RIGHT)
/**Title Align Option**/
%_parmcheck(titlealign,LEFT|CENTER|RIGHT)
/**Foot Note Align Option**/
%_parmcheck(footnotealign,LEFT|CENTER|RIGHT)
/**X-axis tick value weight Option**/
%_parmcheck(xtickvalweight,NORMAL|BOLD)
/**Y-axis tick value weight Option**/
%_parmcheck(ytickvalweight,NORMAL|BOLD)
/**Location Options**/
%_parmcheck(location,INSIDE|OUTSIDE)
/**Label weight Option**/
%_parmcheck(lweight,NORMAL|BOLD)
/**Title weight Option**/
%_parmcheck(tweight,NORMAL|BOLD)
/**Footnote weight Option**/
%_parmcheck(fnweight,NORMAL|BOLD)
/**Patients-at-Risk weight Option**/
%_parmcheck(parweight,NORMAL|BOLD)
/**Hazard Ratio Ties Method Option**/
%_parmcheck(hrties,BRESLOW|DISCRETE|EFRON|EXACT)
/**Risk Table Label Location Option**/
%_parmcheck(risklabellocation,LEFT|ABOVE|)
/**Risk Table Label Alignment Option**/
%_parmcheck(risklabelalign,LEFT|CENTER|RIGHT)
/**Risk Table Patients-at-Risk Subheader Alignment Option**/
%_parmcheck(paralign,LEFT|CENTER|RIGHT|LABELS)
/**Risk Table Label weight Option**/
%_parmcheck(risklabelweight,NORMAL|BOLD)
/**Risk Numbers and Colors Option**/
%_parmcheck(riskcolor,0|1)
/**List Time-points in Plot Summary Table Option**/
%_parmcheck(listtimepoints,0|1)
/**Color Statistics in Plot Summary Table Option**/
%_parmcheck(statcolor,0|1)
/**Plot Confidence Intervals Enabled**/
%_parmcheck(plotci,0|1|2)
/**Plot Confidence Intervals Background Fill Enabled**/
%_parmcheck(plotcifill,0|1)
/**Plot X Reference Line Location**/
%_parmcheck(reflines,|TIMEPOINTS|MEDIANS)
/**Plot Reference Line Method**/
%_parmcheck(reflinemethod,FULL|DROP)
/**Plot Reference Line Axis**/
%_parmcheck(reflineaxis,X|Y|BOTH)
/**Symbol Weight**/
%_parmcheck(symbolweight,NORMAL|BOLD)
/**Auto Align Options**/
%local _z _z2 _test;
%do z = 1 %to &nmodels;
/**Check for missing values**/
%if %sysevalf(%superq(autoalign&z)=,boolean)=0 %then %do _z2=1 %to %sysfunc(countw(%superq(autoalign&z),%str( )));
/**Check all given values against the possible allowed values**/
%let _test=;
%do _z = 1 %to %sysfunc(countw(TOPLEFT|TOP|TOPRIGHT|LEFT|CENTER|RIGHT|BOTTOMLEFT|BOTTOM|BOTTOMRIGHT,|));
%if %qupcase(%scan(%superq(autoalign&z),&_z2,%str( )))=%scan(TOPLEFT|TOP|TOPRIGHT|LEFT|CENTER|RIGHT|BOTTOMLEFT|BOTTOM|BOTTOMRIGHT,&_z,|,m) %then %let _test=1;
%end;
/**If any values are not in the possible list then throw an error**/
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(autoalign)): %qupcase(%scan(%superq(autoalign&z),&_z2,%str( ))) is not in the list of valid values;
%put ERROR: (Model &z: %qupcase(autoalign)): Possible values are TOPLEFT|TOP|TOPRIGHT|LEFT|CENTER|RIGHT|BOTTOMLEFT|BOTTOM|BOTTOMRIGHT;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %do;
/**If missing then show error**/
%put ERROR: (Model &z: %qupcase(autoalign)): Cannot be missing;
%put ERROR: (Model &z: %qupcase(autoalign)): Possible values are TOPLEFT|TOP|TOPRIGHT|LEFT|CENTER|RIGHT|BOTTOMLEFT|BOTTOM|BOTTOMRIGHT;
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Plot Display Variables**/
%local _z _z2 _test _displaylist;
%do z = 1 %to &nmodels;
%if %sysevalf(%qupcase(%superq(display&z))=STANDARD,boolean) %then %do;
%if %sysevalf(%superq(class&z)^=,boolean) %then %let display&z=legend ev_n median hr timelist pval tablecomments;
%else %if %sysevalf(%superq(class&z)=,boolean) %then %let display&z=ev_n median timelist tablecomments;
%end;
%if %sysevalf(%qupcase(%superq(method&z))=KM,boolean) %then
%let _displaylist=legend|hr|median|total|event|ev_n|n_ev|timelist|pval|cindex|tablecomments|totalmv|eventmv|ev_nmv|n_evmv|hrmv|pvalmv|cindexmv|covpval|covpvalmv;
%else %if %sysevalf(%qupcase(%superq(method&z))^=CIF,boolean) %then
%let _displaylist=legend|hr|median|total|event|ev_n|n_ev|timelist|pval|cindex|tablecomments;
%else %if %sysevalf(%qupcase(%superq(method&z))=CIF,boolean) %then %let _displaylist=legend|hr|median|total|event|ev_n|n_ev|timelist|pval|tablecomments|totalmv|eventmv|ev_nmv|n_evmv|hrmv|pvalmv|covpval|covpvalmv;
/**Check for missing values**/
%if %sysevalf(%superq(display&z)=,boolean)=0 %then %do _z2=1 %to %sysfunc(countw(%superq(display&z),%str( )));
/**Check all given values against the possible allowed values**/
%let _test=;
%do _z = 1 %to %sysfunc(countw(&_displaylist,|));
%if %qupcase(%scan(%superq(display&z),&_z2,%str( )))=%scan(%qupcase(&_displaylist),&_z,|,m) %then %let _test=1;
%end;
/**If any values are not in the possible list then throw an error**/
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(display)): %qupcase(%scan(%superq(display&z),&_z2,%str( ))) is not in the list of valid values;
%put ERROR: (Model &z: %qupcase(display)): Possible values are %qupcase(&_displaylist);
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
/**Plot Patients-at-Risk Display Variables**/
%local _z _z2 _test _displaylist;
%do z = 1 %to &nmodels;
%let _displaylist=par|ncens|nevents|par_ncens|par_nevents;
%if %sysevalf(%superq(risklist&z)^=,boolean) %then %do;
/**Check for missing values**/
%if %sysevalf(%superq(pardisplay&z)=,boolean)=0 %then %do _z2=1 %to %sysfunc(countw(%superq(pardisplay&z),%str( )));
/**Check all given values against the possible allowed values**/
%let _test=;
%do _z = 1 %to %sysfunc(countw(&_displaylist,|));
%if %qupcase(%scan(%superq(pardisplay&z),&_z2,%str( )))=%scan(%qupcase(&_displaylist),&_z,|,m) %then %let _test=1;
%end;
/**If any values are not in the possible list then throw an error**/
%if &_test ^= 1 %then %do;
%put ERROR: (Model &z: %qupcase(pardisplay)): %qupcase(%scan(%superq(pardisplay&z),&_z2,%str( ))) is not in the list of valid values;
%put ERROR: (Model &z: %qupcase(pardisplay)): Possible values are %qupcase(&_displaylist);
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
%end;
/**Line Pattern Variables**/
%macro _linepattern(parm=,_patternlist=AUTO|SOLID|SHORTDASH|MEDIUMDASH|LONGDASH|MEDIUMDASHSHORTDASH|
DASHDASHDOT|DASH|LONGDASHSHORTDASH|DOT|THINDOT|SHORTDASHDOT|MEDIUMDASHDOTDOT);
%local _z _z2 _test;
%do z = 1 %to &nmodels;
/**Check for missing values**/
%if %sysevalf(%superq(&parm.&z)=,boolean)=0 %then %do _z2=1 %to %sysfunc(countw(%superq(&parm.&z),%str( )));
%let _test=;
/**Check if values are either in the approved list, or are between 1 and 46**/
%if %sysfunc(notdigit(%scan(%superq(&parm.&z),&_z2,%str( ))))>0 %then %do _z = 1 %to %sysfunc(countw(&_patternlist,|));
%if %qupcase(%scan(%superq(&parm.&z),&_z2,%str( )))=%scan(%qupcase(%sysfunc(compress(&_patternlist))),&_z,|,m) %then %let _test=1;
%end;
%else %if %scan(%superq(&parm.&z),&_z2,%str( )) ge 1 and %scan(%superq(&parm.&z),&_z2,%str( )) le 46 %then %let _test=1;
%if &_test ^= 1 %then %do;
/**Throw error**/
%put ERROR: (Model &z: %qupcase(&parm.)): %qupcase(%scan(%superq(&parm.&z),&_z2,%str( ))) is not in the list of valid values;
%put ERROR: (Model &z: %qupcase(&parm.)): Possible values are %qupcase(&_patternlist) or Numbers Between 1 and 46;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %do;
/**Throw error**/
%put ERROR: (Model &z: %qupcase(&parm.)): %qupcase(%superq(&parm.&z)) is not in the list of valid values;
%put ERROR: (Model &z: %qupcase(&parm.)): Possible values are %qupcase(&_patternlist) or Numbers Between 1 and 46;
%let nerror=%eval(&nerror+1);
%end;
%end;
%mend;
/**Plot Line Patterns**/
%_linepattern(parm=pattern)
%_linepattern(parm=pattern_adjust)
/**Patients-at-Risk INSIDE option Dividor Line Style**/
%_linepattern(parm=riskdivstyle)
/**Plot Confidence Bounds Confidence Interval**/
%_linepattern(parm=plotcilinepattern)
/**Plot X Referenceline line style**/
%_linepattern(parm=reflinepattern)
/**Grid Line Pattern**/
%_linepattern(parm=gridline_pattern)
/**Range Value Check**/
%macro _rangecheck(parm=,min=,max=,incmax=,incmin=);
%do z = 1 %to &nmodels;
/**Check for missing values**/
%if %sysevalf(%superq(&parm.&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(&parm.&z),-.)))) > 0 %then %do;
/**Checks for character values**/
%put ERROR: (Model &z: %qupcase(&parm.)) Must be numeric. %qupcase(%superq(&parm.&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) le &min and &incmin=0 %then %do;
/**Checks if less than or equal to min**/
%put ERROR: (Model &z: %qupcase(&parm.)) Cannot be less than or equal to &min (%superq(&parm.&z));
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) lt &min %then %do;
/**Checks if less than min**/
%put ERROR: (Model &z: %qupcase(&parm.)) Cannot be less than &min (%superq(&parm.&z));
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) ge &max and &incmax=0 %then %do;
/**Checks if greater than or equal to max**/
%put ERROR: (Model &z: %qupcase(&parm.)) Cannot be Greater Than or Equal to &max;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm.&z) gt &max %then %do;
/**Checks if greater than max**/
%put ERROR: (Model &z: %qupcase(&parm.)) Cannot be Greater Than &max;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
%mend;
/**X Axis Minimum offset Value**/
%_rangecheck(parm=xminoffset,min=0,max=1,incmax=0,incmin=1)
/**Y Axis Minimum offset Value**/
%_rangecheck(parm=yminoffset,min=0,max=1,incmax=0,incmin=1)
/**X Axis Maximum offset Value**/
%_rangecheck(parm=xmaxoffset,min=0,max=1,incmax=0,incmin=1)
/**Y Axis Maximum offset Value**/
%_rangecheck(parm=ymaxoffset,min=0,max=1,incmax=0,incmin=1)
/**Plot Confidence Intervals transparency**/
%_rangecheck(parm=plotcifilltransparency,min=0,max=1,incmax=1,incmin=1)
/**Y Axis Maximum Value**/
%do z = 1 %to &nmodels;
/**Check for missing values**/
%if %sysevalf(%superq(ymax&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(ymax&z),-.)))) > 0 %then %do;
/**Checks for character values**/
%put ERROR: (Model &z: %qupcase(ymax)) Must be numeric. %qupcase(%superq(ymax&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(ymax&z) le %superq(ymin&z) %then %do;
/**Makes sure the maximum is not less than the minimum**/
%put ERROR: (Model &z: %qupcase(ymax)) Cannot be less than or equal to YMIN (%superq(ymax&z) vs. %superq(ymin&z));
%let nerror=%eval(&nerror+1);
%end;
%else %if (%superq(ymax&z) gt 100 and %qupcase(%superq(ytype&z))=PCT) or
(%superq(ymax&z) gt 1 and %qupcase(%superq(ytype&z))=PPT) %then %do;
/**Makes sure the maximum cannot be greater than the maximum survival estimate**/
%if %qupcase(%superq(ytype))=PPT %then %do;
%put ERROR: (Model &z: %qupcase(ymax)) Cannot be Greater Than 1 When YTYPE=PPT;
%let nerror=%eval(&nerror+1);
%end;
%else %if %qupcase(%superq(ytype))=PCT %then %do;
%put ERROR: (Model &z: %qupcase(ymax)) Cannot be Greater Than 100 When YTYPE=PCT;
%let nerror=%eval(&nerror+1);
%end;
%end;
%end;
%else %if %qupcase(%superq(ytype&z))=PPT %then %let ymax&z=1;
%else %if %qupcase(%superq(ytype&z))=PCT %then %let ymax&z=100;
%end;
/**Y Axis Increment Value**/
%do z = 1 %to &nmodels;
/**Check for missing values**/
%if %sysevalf(%superq(yincrement&z)=,boolean)=0 %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(yincrement&z),-.)))) > 0 %then %do;
/**Checks for character values**/
%put ERROR: (Model &z: %qupcase(yincrement)) Must be numeric. %qupcase(%superq(yincrement&z)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(yincrement&z) gt %sysevalf(%superq(ymax&z)-%superq(ymin&z)) %then %do;
/**Makes sure the increment is not greater than the distance between max and min**/
%put ERROR: (Model &z: %qupcase(yincrement)) Cannot be less than or equal to difference between YMAX and YMIN (%superq(yincrement&z) vs. %sysfunc(sum(%superq(ymax&z),-%superq(ymin&z))));
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(yincrement&z) le 0 %then %do;
/**Makes sure the increment is greater than zero**/
%put ERROR: (Model &z: %qupcase(yincrement)) Cannot be less than or equal to 0;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %if %qupcase(%superq(ytype&z))=PPT %then %let yincrement&z=0.1;
%else %if %qupcase(%superq(ytype&z))=PCT %then %let yincrement&z=10;
%end;
/**Error Handling on Global Parameters**/
%macro _gparmcheck(parm, parmlist);
%local _test _z;
/**Check if values are in approved list**/
%do _z=1 %to %sysfunc(countw(&parmlist,|,m));
%if %qupcase(%superq(&parm))=%qupcase(%scan(&parmlist,&_z,|,m)) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
/**If not then throw error**/
%put ERROR: (Global: %qupcase(&parm)): %superq(&parm) is not a valid value;
%put ERROR: (Global: %qupcase(&parm)): Possible values are &parmlist;
%let nerror=%eval(&nerror+1);
%end;
%mend;
/**Plot On/Off Options**/
%_gparmcheck(plot,0|1)
/**Summary On/Off Options**/
%_gparmcheck(summary,0|1)
/**Plot Wall On/Off Options**/
%_gparmcheck(showwalls,0|1)
/**New Table On/Off Options**/
%_gparmcheck(newtable,0|1)
/**Lattice Order Options**/
%_gparmcheck(order,COLUMNMAJOR|ROWMAJOR)
/**Destination Options**/
%_gparmcheck(destination,RTF|PDF|HTML|EXCEL|POWERPOINT)
/**Overall Title weight Option**/
%_gparmcheck(ovtweight,NORMAL|BOLD)
/**Overall Footnote weight Option**/
%_gparmcheck(ovfnweight,NORMAL|BOLD)
/**Table Header weight Option**/
%_gparmcheck(tableheaderweight,MEDIUM|BOLD)
/**Table Footnote weight Option**/
%_gparmcheck(tablefootnoteweight,MEDIUM|BOLD)
/**Table Data Columns weight Option**/
%_gparmcheck(tabledataweight,MEDIUM|BOLD)
/**Overall Title Align Option**/
%_gparmcheck(ovtitlealign,LEFT|CENTER|RIGHT)
/**Overall Foot Note Align Option**/
%_gparmcheck(ovfootnotealign,LEFT|CENTER|RIGHT)
/**Border around plot image Option**/
%_gparmcheck(border,0|1)
/**Transparent Background Option**/
%_gparmcheck(transparent,0|1)
/**Table Background Shading**/
%_gparmcheck(tableshading,0|1)
/**Uniform Height below X-axis**/
%_gparmcheck(uniformheight,0|1)
/**Merge covariate p-values into overall p-value column**/
%_gparmcheck(tablemergepval,0|1)
/**Turn debugging options on/off**/
%_gparmcheck(debug,0|1)
/*Tiff Device Check*/
%if %sysevalf(%qupcase(&plottype)=TIFF,boolean) or %sysevalf(%qupcase(&plottype)=TIF,boolean) %then %do;
ods output gdevice=_gdevice;
proc gdevice catalog=sashelp.devices nofs;
list _all_;
run;
quit;
%global _tifflist _tiffcheck;
proc sql noprint;
select 1 into :_tiffcheck from _gdevice where upcase(name)=upcase("&tiffdevice");
select distinct upcase(name) into :_tifflist separated by '|' from _gdevice
where substr(upcase(name),1,3)='TIF';
%if %sysevalf(%superq(_tiffcheck)^=1,boolean) %then %do;
/**If not then throw error**/
%put ERROR: (Global: TIFFDEVICE): %qupcase(%superq(tiffdevice)) is not on the installed list of devices;
%put ERROR: (Global: TIFFDEVICE): Please select from the following list &_tifflist;
%let nerror=%eval(&nerror+1);
%end;
drop table _gdevice;
quit;
%end;
/**Scalable Vector Graphics On/Off Options**/
%_gparmcheck(svg,0|1);
/**Error Handling on Global Parameters Involving units**/
%macro _gunitcheck(parm);
%if %sysevalf(%superq(&parm)=,boolean)=1 %then %do;
/**Check if missing**/
%put ERROR: (Global: %qupcase(&parm)) Cannot be set to missing;
%let nerror=%eval(&nerror+1);
%end;
%else %if %sysfunc(compress(%superq(&parm),ABCDEFGHIJKLMNOPQRSTUVWXYZ,i)) lt 0 %then %do;
/**Throw error**/
%put ERROR: (Global: %qupcase(&parm)) Cannot be less than zero (%qupcase(%superq(&parm)));
%let nerror=%eval(&nerror+1);
%end;
%mend;
/**Overall Title Font Size**/
%_gunitcheck(ovtsize)
/**Overall Footnote Font Size**/
%_gunitcheck(ovfnsize)
/**Plot Width**/
%_gunitcheck(width)
%if %sysevalf(%qupcase(%superq(plottype))=TIFF,boolean) or
%sysevalf(%qupcase(%superq(plottype))=TIF,boolean) %then %do;
%if %sysfunc(find(%superq(width),px,i))>0 %then %do;
/**Throw error**/
%put ERROR: (Global: WIDTH) Must use units of IN when PLOTTYPE=%qupcase(&plottype);
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Plot Height**/
%_gunitcheck(height)
%if %sysevalf(%qupcase(%superq(plottype))=TIFF,boolean) or
%sysevalf(%qupcase(%superq(plottype))=TIF,boolean) %then %do;
%if %sysfunc(find(%superq(height),px,i))>0 %then %do;
/**Throw error**/
%put ERROR: (Global: HEIGHT) Must use units of IN when PLOTTYPE=%qupcase(&plottype);
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Table Header Font Size**/
%_gunitcheck(tableheadersize)
/**Table Footnote Font Size**/
%_gunitcheck(tablefootnotesize)
/**Table Data Columns Font Size**/
%_gunitcheck(tabledatasize)
/**Table Total Count Column Width**/
%_gunitcheck(ttotalwidth)
/**Table Events Count Column Width**/
%_gunitcheck(teventwidth)
/**Table Combined Total Counts and Events Count Column Width**/
%_gunitcheck(tev_nwidth)
/**Table Median Column Width**/
%_gunitcheck(tmedianwidth)
/**Table Hazard Ratio Column Width**/
%_gunitcheck(thrwidth)
/**Table Time point estimates Column Width**/
%_gunitcheck(ttimelistwidth)
/**Table P-value Column Width**/
%_gunitcheck(tpvalwidth)
/**Error Handling on Individual Model Numeric Variables**/
%macro _gnumcheck(parm, min);
/**Check if missing**/
%if %sysevalf(%superq(&parm)^=,boolean) %then %do;
%if %sysfunc(notdigit(%sysfunc(compress(%superq(&parm),-.)))) > 0 %then %do;
/**Check if character value**/
%put ERROR: (Global: %qupcase(&parm)) Must be numeric. %qupcase(%superq(&parm)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%else %if %superq(&parm) < &min %then %do;
/**Makes sure number is not less than the minimum**/
%put ERROR: (Global: %qupcase(&parm)) Must be greater than or equal to %superq(min). %qupcase(%superq(&parm)) is not valid.;
%let nerror=%eval(&nerror+1);
%end;
%end;
%else %do;
/**Throw Error**/
%put ERROR: (Global: %qupcase(&parm)) Cannot be missing;
%put ERROR: (Global: %qupcase(&parm)) Possible values are numeric values greater than or equal to %superq(min);
%let nerror=%eval(&nerror+1);
%end;
%mend;
/**Digital Pixels per Inch Value**/
%_gnumcheck(dpi,100)
/**Anti-alias Maximum Value**/
%_gnumcheck(antialiasmax,1)
/**Number of Lattice Columns**/
%_gnumcheck(columns,1)
/**Number of Lattice Rows**/
%_gnumcheck(rows,1)
/**Number of Models**/
%_gnumcheck(nmodels,1)
%if &plot=1 and &nerror=0 %then %do;
%if %sysevalf(&rows*&columns < &nmodels,boolean) %then %do;
/**Throw Error**/
%put ERROR: (Global: NMODELS) if PLOT=1 then NMODELS (&nmodels) must be less than or equal to ROWS*COLUMNS (%sysevalf(&rows*&columns));
%let nerror=%eval(&nerror+1);
%end;
%end;
/**Summary Table Display Variables**/
%local _z2 _adjtest _unadjtest _list;
/**Check if missing**/
%let _adjtest=0;%let _unadjtest=0;
%if %qupcase(&tabledisplay)=STANDARD %then %do;
%do _z2 = 1 %to &nmodels;
%if %qupcase(&&method&_z2)=INVWTS or %qupcase(&&method&_z2)=DIRECT %then %let _adjtest=1;
%else %if (%sysevalf(%superq(classcov&_z2)^=,boolean) or %sysevalf(%superq(contcov&_z2)^=,boolean)) %then %let _unadjtest=3;
%else %if %sysevalf(%superq(class&_z2)^=,boolean) and &_unadjtest<3 %then %let _unadjtest=2;
%else %if &_unadjtest<2 %then %let _unadjtest=1;
%end;
%if &_adjtest=1 and &_unadjtest=0 %then %let tabledisplay=title footnote ev_nmv medianmv timelistmv hrmv pvalmv;
%else %if &_adjtest=1 and &_unadjtest>0 %then %let tabledisplay=title footnote ev_n median hr timelist pval ev_nmv medianmv timelistmv hrmv pvalmv;
%else %if &_unadjtest=3 %then %let tabledisplay=title footnote ev_n median hr timelist pval ev_nmv hrmv pvalmv;
%else %if &_unadjtest=2 %then %let tabledisplay=title footnote ev_n median hr timelist covpval pval;
%else %let tabledisplay=title footnote ev_n median timelist;
%end;
%if %sysevalf(%superq(tabledisplay)=,boolean)=0 %then %do _z2=1 %to %sysfunc(countw(%superq(tabledisplay),%str( )));
%let _test=;
%let _list=title|footnote|total|event|ev_n|n_ev|median|hr|timelist|pval|covpval|cindex|totalmv|eventmv|ev_nmv|n_evmv|hrmv|medianmv|timelistmv|pvalmv|covpvalmv|cindexmv;
/**Check if submitted values are in approved list**/
%do _z = 1 %to %sysfunc(countw(%qupcase(&_list),|));
%if %qupcase(%scan(%superq(tabledisplay),&_z2,%str( )))=
%scan(%qupcase(&_list),&_z,|,m) %then %let _test=1;
%end;
%if &_test ^= 1 %then %do;
/**Throw errors**/
%put ERROR: (Global: %qupcase(tabledisplay)): %qupcase(%scan(%superq(tabledisplay),&_z2,%str( ))) is not in the list of valid values;
%put ERROR: (Global: %qupcase(tabledisplay)): Possible values are %qupcase(&_list);
%let nerror=%eval(&nerror+1);
%end;
%end;
/**If confidence interval colors are missing, set them to line colors**/
%local z;
%do z = 1 %to &nmodels;
%if %sysevalf(%superq(plotcifillcolor&z)=,boolean) %then %let plotcifillcolor&z=%superq(color&z);
%if %sysevalf(%superq(plotcilinecolor&z)=,boolean) %then %let plotcilinecolor&z=%superq(color&z);
%end;
/*** If any errors exist, stop macro and send to end ***/
%if &nerror > 0 %then %do;
%put ERROR: &nerror pre-run errors listed;
%put ERROR: Macro NEWSURV will cease;
%goto errhandl;
%end;
%if &debug=1 %then %do;
options notes mprint;
%end;
%do z = 1 %to &nmodels;/**Start of Analysis Section**/
%local nerror_run;
%let nerror_run=0;
data _null_;
set &data;
if _n_=1 then do;
/**If missing x label, grab label or name of time variable**/
%if %sysevalf(%superq(xlabel&z)=,boolean) %then %do;
call symput("xlabel&z",vlabel(%superq(time&z)));
%end;
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
%local format&z label&z;
/**Selects format for class variable**/
call symput("label&z",vlabel(%superq(class&z)));
call symput("format&z",vformat(%superq(class&z)));
%end;
end;
run;
/**If missing y label, make generic label depending on y axis type**/
%if %sysevalf(%superq(ylabel&z)=,boolean)=1 %then %do;
%if %qupcase(%superq(ytype&z))=PCT %then %do;
%if %qupcase(%superq(method&z))=CIF or %superq(sreverse&z)=1 %then %let ylabel&z=Percent With Event;
%else %let ylabel&z=Percent Without Event;
%end;
%else %do;
%if %qupcase(%superq(method&z))=CIF or %superq(sreverse&z)=1 %then %let ylabel&z=Proportion With Event;
%else %let ylabel&z=Proportion Without Event;
%end;
%end;
/**Apply where clause**/
proc sql;
create table _tempdsn&z as
select * from &data (
%if %sysevalf(%superq(where&z)=,boolean)=0 %then %do;
where=(&&where&z)
%end;);
%local datcheck;
%if %sysfunc(exist(_tempdsn&z))>0 %then %do;
select count(*) into :datcheck from _tempdsn&z;
%end;
%else %let datcheck=0;
quit;
%if &datcheck =0 %then %do;
%put ERROR: (Model &z: WHERE): Issue parsing the WHERE clause;
%let nerror_run=%eval(&nerror_run+1);
%goto errhandl2;
%end;
/**Create temporary dataset for analysis**/
/**Changes class variable to character variable by applying format**/
/**Makes sure there are no missing values in the key variables**/
data _tempdsn&z;
merge %if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
_tempdsn&z (keep=%superq(class&z) rename=(%superq(class&z)=_tempvar_))
%end;
_tempdsn&z (keep=%superq(time&z) rename=(%superq(time&z)=_time_))
_tempdsn&z (keep=%superq(cens&z) rename=(%superq(cens&z)=_cens_))
%do i=1 %to %sysfunc(countw(%superq(classcov&z),%str( )));
_tempdsn&z (keep=%scan(%superq(classcov&z),&i,%str( )) rename=(%scan(%superq(classcov&z),&i,%str( ))=_classcov_&i))
%end;
%do i=1 %to %sysfunc(countw(%superq(contcov&z),%str( )));
_tempdsn&z (keep=%scan(%superq(contcov&z),&i,%str( )) rename=(%scan(%superq(contcov&z),&i,%str( ))=_contcov_&i))
%end;
%do i=1 %to %sysfunc(countw(%superq(strata&z),%str( )));
_tempdsn&z (keep=%scan(%superq(strata&z),&i,%str( )) rename=(%scan(%superq(strata&z),&i,%str( ))=_strata_&i))
%end;
%if %sysfunc(notdigit(0%sysfunc(compress(%superq(landmark&z),.-)))) > 0 %then %do;
_tempdsn&z (keep=%superq(landmark&z) rename=(%superq(landmark&z)=_landmark_))
%end;;
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
length _class_ $300.;
_class_=strip(vvalue(_tempvar_));
drop _tempvar_;
if ^missing(_class_);
%end;
if ^missing(_time_) and ^missing(_cens_)
%if %sysfunc(notdigit(0%sysfunc(compress(%superq(landmark&z),.-)))) > 0 %then %do; and ^missing(_landmark_) %end;
%if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); and ^missing(_strata_&i) %end;;
%if %sysevalf(%superq(xdivisor&z)=,boolean)=0 %then %do;
_time_=_time_/%superq(xdivisor&z);
%end;
/**Apply landmark if not missing**/
%if %sysevalf(%superq(landmark&z)=,boolean)=0 %then %do;
_time_=_time_-
%if %sysfunc(notdigit(0%sysfunc(compress(%superq(landmark&z),.-)))) > 0 %then %do;
_landmark_
%end;
%else %do;
%superq(landmark&z)
%end;;
if _time_ gt 0;
%end;
%if %sysevalf(%superq(classcov&z)^=,boolean) or %sysevalf(%superq(contcov&z)^=,boolean) %then %do;
if missing(_class_)=0
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( )));
and missing(_classcov_&i)=0
%end;
%if %sysevalf(%superq(contcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(contcov&z),%str( )));
and missing(_contcov_&i)=0
%end; then do;
_multi_=1;output;
end;
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( )));
if vtype(_classcov_&i)='N' then _classcov_&i=1;
else _classcov_&i='1';
%end;
%if %sysevalf(%superq(contcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(contcov&z),%str( ))); _contcov_&i=1; %end;
_multi_=0;output;
%end;
%else %do;
_multi_=0;output;
%end;
run;
proc sort data=_tempdsn&z;
by _multi_;
run;
proc sql noprint;
%local nclass_&z;
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
/**Saves number of class levels into macro variable**/
select count(distinct _class_) into :nclass_&z from _tempdsn&z
where _multi_=0;
%end;
%else %let nclass_&z=1;
/***Save class values into macro variables***/
%do i = 1 %to %superq(nclass_&z);
%local class_&z._&i nclass_&z._&i;
%end;
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
/**If order set to auto then select class values in order sorted by class variable**/
%if %sysevalf(%superq(classorder&z)=,boolean) %then %do;
select distinct _class_ into :class_&z._1-:class_&z._%sysfunc(strip(%superq(nclass_&z)))
from _tempdsn&z
where _multi_=0
order by _class_
%if %superq(desc&z)=1 %then %do; DESC %end; /**If desc=DESC then reverse order of class variable**/;
%end;
%else %do;
/**Select class values per requested order**/
%local ___classlevels_&z;
select distinct _class_ into :___classlevels_&z separated by '|'
from _tempdsn&z
where _multi_=0
order by _class_;
%local i2;
%do i = 1 %to %superq(nclass_&z);
%if %superq(desc&z)=1 %then %let i2=%sysfunc(abs(%sysfunc(sum(&i,-%superq(nclass_&z),-1))));
%else %let i2=&i;
%let class_&z._&i = %scan(%superq(___classlevels_&z),%scan(%superq(classorder&z),&i2),|,m);
%end;
%end;
%if %qupcase(&&method&z)=INVWTS %then %do;
/**Get counts for each Class Level**/
select %do i = 1 %to %superq(nclass_&z);
%if &i>1 %then %do; , %end;
sum(ifn(_class_="%superq(class_&z._&i)",1,0))
%end;
into %do i = 1 %to %superq(nclass_&z);
%if &i>1 %then %do; , %end;
:nclass_&z._&i separated by ' '
%end;
from _tempdsn&z
where _multi_=1;
%end;
/**Check if the provided class reference value is in the data**/
%if %sysevalf(%superq(classref&z)=,boolean)=0 %then %do;
%local _classrefcheck;
%let _classrefcheck=;
select distinct 1 into :_classrefcheck
from _tempdsn&z
where strip(_class_)=strip("%superq(classref&z)") and _multi_=0;
%if %superq(_classrefcheck) ^=1 %then %do;
/**If not in the dataset then throw error**/
%put ERROR: (Model &z: CLASSREF): Indicated class reference value (%superq(classref&z)) does not exist in dataset (%superq(data));
%put ERROR: (Model &z: CLASSREF): Class reference value must be an existing value with same case as formatted value in dataset;
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%end;
/*** X-axis Maximum ***/
%local _maxt;
/**Select greatest time value**/
select max(_time_) into :_maxt
from _tempdsn&z;
/**Check if missing**/
%if %sysevalf(%superq(xmax&z)=,boolean)=1 %then %do;
/**Set x-maximum to maximum time rounded to next number divisible by 5**/
%let xmax&z=%sysfunc(sum(%sysfunc(ceil(%superq(_maxt))),5,-%sysfunc(mod(%sysfunc(ceil(%superq(_maxt)-%superq(xmin&z))),5))));
%end;
%else %if %sysfunc(notdigit(%sysfunc(compress(%superq(xmax&z),.-)))) > 0 %then %do;
/**If character value then throw error**/
%put ERROR: (Model &z: XMAX) Must be a numeric value (%qupcase(%superq(xmax&z)));
%let nerror_run=%eval(&nerror_run+1);
%end;
%else %if %sysevalf(%superq(xmax&z) le %superq(xmin&z),boolean) %then %do;
/**Make sure maximum is not less or equal to than minimum**/
%put ERROR: (Model &z: XMAX) Cannot be less than or equal to XMIN (%superq(xmax&z) vs. %superq(xmin&z));
%let nerror_run=%eval(&nerror_run+1);
%end;
/*** X-axis Incrementation ***/
%if %sysevalf(%superq(xincrement&z)=,boolean)=1 %then %do;
/**If missing then set increment to be range cut into 5 pieces**/
%let xincrement&z=%sysfunc(sum((%superq(xmax&z)-%superq(xmin&z))/5));
%end;
%else %if %sysfunc(notdigit(%sysfunc(compress(%superq(xincrement&z),.-)))) > 0 %then %do;
/**If character value then throw error**/
%put ERROR: (Model &z: XINCREMENT) Must be a numeric value (%qupcase(%superq(xincrement&z)));
%let nerror_run=%eval(&nerror_run+1);
%end;
%else %if %sysevalf(%superq(xincrement&z) gt (%sysevalf(%superq(xmax&z)-%superq(xmin&z))),boolean) %then %do;
/**Make sure increment cannot be greater than range**/
%put ERROR: (Model &z: XINCREMENT) Cannot be greater than the difference between XMAX and XMIN (%superq(xincrement&z) vs. %sysfunc(sum(%superq(xmax&z),-%superq(xmin&z))));
%let nerror_run=%eval(&nerror_run+1);
%end;
quit;
%if &nerror_run > 0 %then %goto errhandl2;
/**Assign multiplicative constant for y-axis**/
%local xmult_&z tfmt_&z;
%if %qupcase(%superq(ytype&z))=PCT %then %let xmult_&z=100;
%else %if %qupcase(%superq(ytype&z))=PPT %then %let xmult_&z=1;
/**Assign formats for y-axis**/
%if %sysevalf(%qupcase(%superq(kmestdigits&z))=AUTO,boolean) %then %do;
%if %qupcase(%superq(ytype&z))=PCT %then %let tfmt_&z=5.1;
%else %if %qupcase(%superq(ytype&z))=PPT %then %let tfmt_&z=4.2;
%end;
%else %let tfmt_&z=%sysevalf(12.&&kmestdigits&z);
%local risklist_&z;
%if %qupcase(%superq(risklocation&z))=TIMELIST %then %let risklist_&z=%superq(timelist&z);
%else %let risklist_&z = %superq(risklist&z);
/**Get survival times**/
/**median, logrank test, time estimates**/
/*Unadjusted Curves*/
ods graphics on;
proc lifetest data=_tempdsn&z alpha=&&alpha&z alphaqt=&&alpha&z
/**Set up dataset with time-point estimate numbers**/
%if %sysevalf(%superq(timelist&z)=,boolean)=0 %then %do;
timelist=%sysfunc(compress(%superq(timelist&z), "'"))
%if %sysevalf(%qupcase(&&method&z)^=CIF,boolean) %then %do;
reduceout outs=_timelist (where=(_multi_=0))
%end;
%end;
%if %sysevalf(%qupcase(&&method&z)=CIF,boolean) %then %do;
/**Set up dataset with survival numbers**/
cifvar
%if %sysevalf(%qupcase(%superq(cifvar&z))=COUNT,boolean) %then %do;
error=aalen
%end;
%else %do;
error=delta
%end;
outcif=_surv (where=(_multi_=0 and (event>. or t1=0 or c1=1))
rename=(%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; _class_=cl1 stratum=stratumnum %end;
_time_=t1 cif=s1 censored=c1 cif_lcl=lcl1 cif_ucl=ucl1 variance=vcif)
keep=_multi_ cif _time_ censored event atrisk cif_lcl cif_ucl variance
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; _class_ stratum %end;)
%end;
/***Set up dataset with survival estimates***/
%if %sysevalf(%qupcase(&&method&z)^=CIF,boolean) %then %do;
plot=(survival(cl
%if %sysevalf(%superq(risklist&z)=,boolean)=0 %then %do;
atrisk= %sysfunc(compress(%superq(risklist_&z), "'"))
%end;))
%end;
/**Set confidence interval type**/
conftype=%superq(conftype&z);
/**If class variable then split into groups**/
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
strata _class_
%if %qupcase(%superq(plotpval&z))=LOGRANK and %sysevalf(%superq(strata&z)=,boolean) %then %do;
/ logrank
%end;
%else %if %qupcase(%superq(plotpval&z))=WILCOXON and %sysevalf(%superq(strata&z)=,boolean) %then %do;
/ wilcoxon
%end;;
%end;
by _multi_;
/**Run Model**/
time _time_ * _cens_(%superq(cen_vl&z)) %if %qupcase(&&method&z)=CIF %then %do; / failcode=&&ev_vl&z %end;;
ods output %if %qupcase(&&method&z)^=CIF %then %do; censoredsummary=_sum /**Contains events/totals**/%end;
%else %do; failuresummary=_sum (rename=(event=failed)) /**Contains events/totals**/%end;
%if %qupcase(&&method&z)^=CIF %then %do; quartiles=_quart (where=(percent=50 and _multi_=0)) /**Containts Medians**/%end;
%if %sysevalf(%superq(class&z)=,boolean)=0 and %sysevalf(%superq(strata&z)=,boolean) %then %do;
%if %qupcase(&&method&z)^=CIF %then %do;
homtests=_ltest /**Contains Logrank and/or Wilcoxon test**/
%end;
%else %do;
graytest=_ltest /**Contains Logrank and/or Wilcoxon test**/
%end;
%end;
%if %qupcase(&&method&z)^=CIF %then %do;
survivalplot=_surv (where=(event>. and _multi_=0)
rename=(%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; stratum=cl1 %end;
survival=s1 time=t1 censored=c1 sdf_lcl=lcl1 sdf_ucl=ucl1)
keep=_multi_ survival time censored event sdf_lcl sdf_ucl
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; stratum stratumnum %end;)/**Set up dataset with survival numbers**/
%if %qupcase(&&method&z)=DIRECT %then %do;
survivalplot=_surv_adj2 (where=(event>. and _multi_=1)
rename=(%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; stratum=cl1 %end;
survival=s1 time=t1 censored=c1 sdf_lcl=lcl1 sdf_ucl=ucl1)
keep=_multi_ survival time censored event sdf_lcl sdf_ucl
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; stratum stratumnum %end;)/**Set up dataset with survival numbers**/
%end;
%if %sysevalf(%superq(risklist&z)=,boolean)=0 %then %do;
survivalplot=_splot
(keep=_multi_ time tatrisk stratumnum atrisk event censored) /**Outputs dataset with patients-at-risk numbers**/
%end;
%end;
%else %if %sysevalf(%superq(timelist&z)=,boolean)=0 %then %do;
cif=_timelist (rename=(cif=survival cif_lcl=sdf_lcl cif_ucl=sdf_ucl))
%end;;
run;
%if %qupcase(&&method&z)=CIF %then %do;
%if %sysevalf(%superq(risklist&z)^=,boolean) %then %do;
%local _cif_riskpoints_&z;
/**Created from XX to XX by XX format**/
%if %sysfunc(find(%superq(risklist_&z),to,i))>0 %then %do;
data _list_;
do i = %superq(risklist_&z);
riskpoint=i;
output;
end;
drop i;
run;
proc sort data=_list_;
by riskpoint;
run;
proc sql noprint;
select distinct riskpoint into :_cif_riskpoints_&z separated by ',' from _list_;
drop table _list_;
quit;
%end;
/**Created from numeric list**/
%else %do i = 1 %to %sysfunc(countw(%superq(risklist&z),%str( )));
%if &i=1 %then %let _cif_riskpoints_&z=%scan(%superq(risklist&z),&i,%str( ));
%else %let _cif_riskpoints_&z=&&_riskpoints_&z,%scan(%superq(risklist&z),&i,%str( ));
%end;
%if %sysevalf(%superq(class&z)=,boolean) %then %do;
data _surv;
set _surv;
stratumnum=1;
run;
%end;
data _splot;
set _surv;
by stratumnum;
where _multi_=0;
array _risktimes_ {%sysfunc(countw(%superq(_cif_riskpoints_&z),%str(,)))} (&&_cif_riskpoints_&z);
retain _ncens _nevents _lagncens _lagnevents;
if first.stratumnum then do;
_ncens=0;_nevents=0;
_lagncens=0;_lagnevents=0;
_count_=1;
end;
if _count_ le dim(_risktimes_) then do;
if t1 <= _risktimes_{_count_} then do;
if event>. then _nevents=_nevents+event;
if c1>. then _ncens=_ncens+c1;
end;
else do;
if event>. then _lagnevents=_lagnevents+event;
if c1>. then _lagncens=_lagncens+c1;
end;
end;
if _count_ le dim(_risktimes_) then do;
if t1 >=_risktimes_(_count_) then do until(x=1);
tatrisk=_risktimes_(_count_);
time=tatrisk;
call missing(event,c1);
output;
_nevents=_nevents+_lagnevents;
_ncens=_lagncens+_ncens;
_lagnevents=0;
_lagncens=0;
_count_+1;
if _count_>dim(_risktimes_) then x=1;
else if t1 < _risktimes_(_count_) then x=1;
else x=0;
end;
if last.stratumnum then do i=_count_ to dim(_risktimes_);
tatrisk=_risktimes_(_count_);
time=tatrisk;
atrisk=0;
call missing(event,c1);
output;
_nevents=_nevents+_lagnevents;
_ncens=_lagncens+_ncens;
_lagnevents=0;
_lagncens=0;
end;
end;
keep _multi_ tatrisk time stratumnum atrisk event c1 t1 _count_ _nevents _ncens _lagnevents _lagncens;
rename c1=censored;
run;
%end;
%if %sysevalf(%superq(class&z)^=,boolean) %then %do;
data _sum;
set _sum;
if missing(stratum) then control_var='-';
else control_var='';
run;
%end;
proc sql;
/**Update censor values for plot**/
update _surv
set c1=ifn(c1=1,s1,.);
/**Generate Median quartiles table**/
create table _quart %if %sysevalf(%superq(class)^=,boolean) %then %do; (rename=(cl1=_class_)) %end; as
select _multi_,%if %sysevalf(%superq(class)^=,boolean) %then %do; cl1,%end; 50 as percent,
min(ifn(s1>=0.5,t1,.)) as estimate,
min(ifn(ucl1>=0.5,t1,.)) as lowerlimit,
min(ifn(lcl1>=0.5,t1,.)) as upperlimit
from _surv
where _multi_=0
group by _multi_
%if %sysevalf(%superq(class)^=,boolean) %then %do; ,cl1 %end;;
quit;
%end;
%if %sysevalf(%superq(risklist&z)=,boolean)=0 and %qupcase(&&method&z)^=CIF %then %do;
data _splot;
set _splot;
by _multi_ stratumnum;
if first.stratumnum then do;
_ncens=0;_nevents=0;
end;
if event>. then _nevents=_nevents+event;
if censored>. then _ncens=_ncens+1;
retain _ncens _nevents;
if ^missing(tatrisk) then output;
drop event censored;
run;
%end;
ods graphics off;
/**calculate stratified p-values**/
%if %sysevalf(%superq(strata&z)^=,boolean) and %sysevalf(%superq(class&z)^=,boolean) %then %do;
proc lifetest data=_tempdsn&z;
by _multi_;
strata %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); _strata_&i %end; / group=_class_
%if %qupcase(%superq(plotpval&z))=LOGRANK %then %do;
test=logrank
%end;
%else %if %qupcase(%superq(plotpval&z))=WILCOXON %then %do;
test=wilcoxon
%end;;
/**Run Model**/
time _time_ * _cens_(%superq(cen_vl&z)) %if %qupcase(&&method&z)=CIF %then %do; / failcode=&&ev_vl&z %end;;
ods output
%if %qupcase(&&method&z)^=CIF %then %do;
homtests=_ltest /**Contains Stratified Logrank and/or Wilcoxon test**/
%end;
%else %do;
graytest=_ltest /**Contains Stratified Gray K-sample test**/
%end;;
run;
%end;
/**Inverse Weights Adjusted Survival Curves**/
%if %qupcase(&&method&z)=INVWTS %then %do;
/**Create weights for adjustment**/
data _adjwts_prep;
set _tempdsn&z;
where _multi_=1;
array _class_lvls_ {%superq(nclass_&z)} $100. (%do i = 1 %to %superq(nclass_&z);
%if &i>1 %then %do; , %end;
"%superq(class_&z._&i)"
%end;);
_order_=_n_;
do i = 1 to %superq(nclass_&z);
_set_=i;
if _class_=_class_lvls_(i) then _adjevent_=1;
else _adjevent_=0;
output;
end;
drop i _class_lvls_:;
run;
proc sort data=_adjwts_prep;
by _set_;
run;
proc logistic data=_adjwts_prep;
by _set_;
/***Set up class variable and class covariates***/
class
/**Class covariates**/
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( )));
_classcov_&i
%end;
%if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); _strata_&i %end;;
/**Run model**/
model _adjevent_ (event='1') =
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( ))); _classcov_&i %end; /**Class Covariates**/
%if %sysevalf(%superq(contcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(contcov&z),%str( ))); _contcov_&i %end; /**Numeric Covariates**/
/**Apply strata**/
%if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); _strata_&i %end; ;
output out=_adjwts prob=_adjwts_;
run;
proc sort data=_adjwts;
by _order_ _set_;
run;
data _adjwts;
merge %do i = 1 %to %superq(nclass_&z); _adjwts (where=(_set_=&i) rename=(_adjwts_=_adjwts_&i) %if &i>1 %then %do; keep=_set_ _order_ _adjwts_ %end;) %end;;
by _order_;
array _class_lvls_ {%superq(nclass_&z)} $100. (%do i = 1 %to %superq(nclass_&z);
%if &i>1 %then %do; , %end;
"%superq(class_&z._&i)"
%end;);
array _class_n_ {%superq(nclass_&z)} (%do i = 1 %to %superq(nclass_&z);
%if &i>1 %then %do; , %end;
%superq(nclass_&z._&i)
%end;);
array _adjwts_ {%superq(nclass_&z)};
do i = 1 to %superq(nclass_&z);
if _class_=_class_lvls_(i) then _adjwt_=(_class_n_(i)/sum(of _class_n_(*)))/_adjwts_(i);
end;
drop _set_ _order_ _adjevent_ _level_ i _class_lvls_: _class_n_: _adjwts_:;
run;
/**Weighted Survival Curves**/
ods graphics on;
proc lifetest data=_adjwts alpha=&&alpha&z alphaqt=&&alpha&z
/**Set up dataset with time-point estimate numbers**/
%if %sysevalf(%superq(timelist&z)=,boolean)=0 %then %do;
reduceout timelist=%sysfunc(compress(%superq(timelist&z), "'"))
outs=_timelistmv
%end;
/***Set up dataset with patients-at-risk numbers***/
plot=(survival(cl
%if %sysevalf(%superq(risklist&z)=,boolean)=0 %then %do;
atrisk= %sysfunc(compress(%superq(risklist_&z), "'"))
%end;))
/**Set confidence interval type**/
conftype=%superq(conftype&z);
/**If class variable then split into groups**/
strata _class_
%if %qupcase(%superq(plotpval&z))=LOGRANK and %sysevalf(%superq(strata&z)=,boolean) %then %do;
/ logrank
%end;
%else %if %qupcase(%superq(plotpval&z))=WILCOXON and %sysevalf(%superq(strata&z)=,boolean) %then %do;
/ wilcoxon
%end;;
/**Run Model**/
time _time_ * _cens_(%superq(cen_vl&z));
weight _adjwt_;
ods output censoredsummary=_summv /**Contains events/totals**/
quartiles=_quartmv (where=(percent=50)) /**Containts Medians**/
%if %sysevalf(%superq(class&z)=,boolean)=0 and %sysevalf(%superq(strata&z)=,boolean) %then %do;
homtests=_ltestmv /**Contains Logrank and/or Wilcoxon test**/
%end;
survivalplot=_surv_adj (where=(event>.)
rename=(%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; stratum=cl1 %end;
survival=s1 time=t1 censored=c1 sdf_lcl=lcl1 sdf_ucl=ucl1)
keep= survival time censored event sdf_lcl sdf_ucl
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; stratum stratumnum %end;);/**Set up dataset with survival numbers**/
run;
ods graphics off;
/**calculate stratified p-values**/
%if %sysevalf(%superq(strata&z)^=,boolean) %then %do;
/**Weighted Survival Curves**/
proc lifetest data=_adjwts alpha=&&alpha&z alphaqt=&&alpha&z
strata %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( )));_strata_&i %end; / group=_class_
%if %qupcase(%superq(plotpval&z))=LOGRANK %then %do;
test=logrank
%end;
%else %if %qupcase(%superq(plotpval&z))=WILCOXON %then %do;
test=wilcoxon
%end;;
/**Run Model**/
time _time_ * _cens_(%superq(cen_vl&z));
weight _adjwt_;
ods output homtests=_ltestmv; /**Contains Stratified Logrank and/or Wilcoxon test**/
run;
%end;
/**Causes the survival estimates to continue**/
/**for each time value in the dataset**/
data _surv_adj;
set _surv_adj;
if s1 = . then s1 = c1;
drop event;
run;
%end;
%if %qupcase(&&method&z)=DIRECT %then %do;
/**Adjusted Survival Curves -- Direct Adjustment Method**/
/*Setup population to be used as the covariates dataset*/
data _covs;
set %do j=1 %to %superq(nclass_&z);
_tempdsn&z (in=a&j)
%end;;
%do j=1 %to %superq(nclass_&z);
%if &j > 1 %then %do; else %end;
if a&j then _class_="%superq(class_&z._&j)";
%end;
run;
ods graphics on;
/*Run Direct Adjusted Model*/
proc phreg data=_tempdsn&z plots(cl) =survival ;
strata _class_;
class %if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); _strata_&i %end;
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( ))); _classcov_&i %end;;
model _time_*_cens_(%superq(cen_vl&z))=
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( ))); _classcov_&i %end; /**Class Covariates**/
%if %sysevalf(%superq(contcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(contcov&z),%str( ))); _contcov_&i %end; /**Numeric Covariates**/
%if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); _strata_&i %end; /**Stratification Factors**/ / rl;
baseline covariates=_covs out=_surv_adj (rename=(_time_=t1 _class_=cl1)) survival=s1 lower=lcl1 upper=ucl1/ diradj cltype=%superq(conftype&z);
where missing(_class_)=0
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( )));
and missing(_classcov_&i)=0
%end;
%if %sysevalf(%superq(contcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(contcov&z),%str( )));
and missing(_contcov_&i)=0
%end;;
run;
/*Add blank censor variable to outputted dataset*/
%local _n;
data _surv_adj;
set _surv_adj end=last;
c1=.;stratumnum=.;
%do j = 1 %to %superq(nclass_&z);
%if &j>1 %then %do; else %end;
if strip(cl1)="%superq(class_&z._&j)" then _classlevel_=&j;
%end;
run;
%if %sysevalf(%superq(risklist&z)=,boolean)=0 %then %do;
data _splot_adj;
set _splot;
where _multi_=1;
by stratumnum;
if first.stratumnum then do;
_ncens=0;_nevents=0;
end;
if event>. then _nevents=_nevents+event;
if censored>. then _ncens=_ncens+1;
retain _ncens _nevents;
if ^missing(tatrisk) then output;
drop event censored;
run;
%end;
proc sort data=_tempdsn&z (keep=_class_) out=_dclass nodup;
by _class_;
data _dclass;
set _dclass;
by _class_;
if first._class_ then do;
stratumnum+1;
output;
end;
run;
proc sql;
update _surv_adj a
set stratumnum=(select distinct stratumnum from _dclass where a.cl1=_class_);
quit;
proc sort data=_surv_adj nodup;
by stratumnum t1;
proc sort data=_surv_adj2 nodup;
by stratumnum t1;
run;
data _surv_adj;
merge _surv_adj (in=a drop=c1) _surv_adj2 (keep=stratumnum t1 c1 where=(^missing(c1)));
by stratumnum t1;
if a or ^missing(c1);
run;
data _surv_adj;
set _surv_adj end=last;
by stratumnum;
if first.stratumnum then do;
lcl1=1;
ucl1=1;
end;
if missing(lcl1) and ^missing(_lcl) then lcl1=_lcl;
if missing(ucl1) and ^missing(_ucl) then ucl1=_ucl;
retain _s1 _cll _lcl _ucl;
if s1 = . and c1>. then do;
s1 = _s1;
c1=_s1;
_classlevel_=_cll;
lcl1=_lcl;
ucl1=_ucl;
%do j = 1 %to %superq(nclass_&z);
%if &j>1 %then %do; else %end;
if _classlevel_=&j then cl1="%superq(class_&z._&j)";
%end;
end;
else if c1>. then c1=s1;
_s1=s1;_cll=_classlevel_;_lcl=lcl1;_ucl=ucl1;
if last then do;
call symput('_n',strip(put(_n_+1,12.0)));
end;
drop _s1 _cll _lcl _ucl;
run;
proc sort data=_surv_adj;
by _classlevel_ t1;
run;
/*Create a quartiles and timelist dataset for adjusted curves*/
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
%local _timepoints_&z;
/**Created from XX to XX by XX format**/
%if %sysfunc(find(%superq(timelist&z),to,i))>0 %then %do;
data _list_;
do i = %superq(timelist&z);
timepoint=i;
output;
end;
drop i;
run;
proc sort data=_list_;
by timepoint;
run;
proc sql noprint;
select distinct timepoint into :_timepoints_&z separated by ',' from _list_;
drop table _list_;
quit;
%end;
/**Created from numeric list**/
%else %do i = 1 %to %sysfunc(countw(%superq(timelist&z),%str( )));
%if &i=1 %then %let _timepoints_&z=%scan(%superq(timelist&z),&i,%str( ));
%else %let _timepoints_&z=&&_timepoints_&z,%scan(%superq(timelist&z),&i,%str( ));
%end;
%end;
proc sort data=_surv_adj;
by _classlevel_ t1;
run;
data _quartmv (keep=cl1 percent estimate lowerlimit upperlimit rename=(cl1=_class_))
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
_timelistmv (keep= stratum cl1 timelist _time_ survival sdf_lcl sdf_ucl rename=(cl1=_class_))
%end;;
set _surv_adj (rename=(t1=_time_ s1=_surv_ lcl1=_lcl_ ucl1=_ucl_)) end=last;
by _classlevel_ _time_;
array times {&_n} _temporary_;
array surv {&_n} _temporary_;
array lcl {&_n} _temporary_;
array ucl {&_n} _temporary_;
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
array _timepoints {%sysfunc(countw(%superq(_timepoints_&z),%str(,)))} (&&_timepoints_&z);
%end;
if _n_=1 then do;
_mult_=1;
if _surv_=1*_mult_ then _order_=1;
else if _surv_=0 then _order_=2;
end;
retain _mult_ _order_;
drop _mult_ _order_;
if first._classlevel_ then do;
_count_=1;
call missing(of times(*),of surv(*), of lcl(*), of ucl(*));
end;
else _count_+1;
times(_count_)=_time_;
surv(_count_)=_surv_;
lcl(_count_)=_lcl_;
ucl(_count_)=_ucl_;
if last._classlevel_ then do;
/**Median Time-to-Event**/
estimate=.;lowerlimit=.;upperlimit=.;percent=50;sdf_lcl=.;sdf_ucl=.;
do i = 1 to _count_;
if _order_=1 and ^missing(surv(i)) then do;
if surv(i) le 0.5*_mult_ and estimate=. then estimate=times(i);
if lcl(i) le 0.5*_mult_ and lowerlimit=. then lowerlimit=times(i);
if ucl(i) le 0.5*_mult_ and upperlimit=. then upperlimit=times(i);
end;
else if _order_=2 and ^missing(surv(i)) then do;
if surv(i) ge 0.5*_mult_ and estimate=. then estimate=times(i);
if lcl(i) ge 0.5*_mult_ and lowerlimit=. then lowerlimit=times(i);
if ucl(i) ge 0.5*_mult_ and upperlimit=. then upperlimit=times(i);
end;
end;
output _quartmv;
/**Time-point values**/
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
do j = 1 to dim(_timepoints);
_tout=0;
survival=.;sdf_lcl=.;sdf_ucl=.;
if _timepoints(j) > times(_count_) then do;
do i = j to dim(_timepoints);
survival=.;sdf_lcl=.;sdf_ucl=.;
timelist=_timepoints(i);
stratum=_classlevel_;
output _timelistmv;
end;
j=dim(_timepoints);
end;
else do i = _tout+1 to _count_;
if times(i) <= _timepoints(j) and ^missing(surv(i)) then do;
survival=surv(i);
sdf_lcl=lcl(i);
sdf_ucl=ucl(i);
_tout=i;
end;
if times(i) = _timepoints(j) or
(times(i) < _timepoints(j) and times(i+1)>_timepoints(j)) then do;
_time_=times(_tout);
timelist=_timepoints(j);
stratum=_classlevel_;
output _timelistmv;
end;
if times(i) ge _timepoints(j) then i=_count_;
end;
end;
%end;
end;
run;
%end;
/**Causes the survival estimates to continue**/
/**for each time value in the dataset**/
data _surv;
set _surv;
if s1 = . then s1 = c1;
drop event;
run;
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
/**hazard ratio, p-value**/
proc phreg data=_tempdsn&z alpha=&&alpha&z;
by _multi_;
/***Set up class variable and class covariates***/
class
/***Class Variable and Reference Group***/
_class_ %if %sysevalf(%superq(classref&z)=,boolean)=0 %then %do; (ref="%superq(classref&z)") %end;
/**Class covariates**/
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( )));
_classcov_&i
%end;;
/**Apply strata**/
%if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do;
strata %do i = 1 %to %sysfunc(countw(%superq(strata&z),%str( ))); _strata_&i %end;;
%end;
/**Run model**/
model _time_ * _cens_(%superq(cen_vl&z)) = _class_ /**Class Variable**/
%if %sysevalf(%superq(classcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(classcov&z),%str( ))); _classcov_&i %end; /**Class Covariates**/
%if %sysevalf(%superq(contcov&z)=,boolean) =0 %then %do i = 1 %to %sysfunc(countw(%superq(contcov&z),%str( ))); _contcov_&i %end; /**Numeric Covariates**/
/ rl ties=%superq(hrties&z) type3 (SCORE LR WALD)
%if %sysevalf(%qupcase(%superq(method&z))=CIF) %then %do;
eventcode=%superq(ev_vl&z)
%end;; /**P-values, Ties, and Confidence Bounds, Competing Risks Event Level**/
ods output parameterestimates=_parm (where=(upcase(strip(parameter))=upcase(strip("_class_")))) /***Hazard ratios and confidence intervals***/
modelanova=_t3 (where=(upcase(strip(effect))=upcase(strip("_class_")))) /**P-values**/;
%if %sysevalf(%qupcase(%superq(method&z))^=CIF,boolean) %then %do;
/**Outputs the betas for C-index calculations**/
output out=_xbeta xbeta=xbeta;
%end;
run;
%if %sysevalf(%qupcase(%superq(method&z))^=CIF,boolean) %then %do;
data _xbeta;
set _xbeta (in=a)
/*%if %sysevalf(%superq(classcov&z)^=,boolean) or %sysevalf(%superq(contcov&z)^=,boolean) %then %do;
_xbetamv (in=b)
%end;*/;
rename _multi_=_bylevel_;
*if a then _bylevel_=0;
*else _bylevel_=1;
run;
/**Sorts by present stratification**/
%if %sysevalf(%superq(strata&z)=,boolean)=0 %then %do;
proc sort data=_xbeta out=_strata;
by _bylevel_
%do j=1 %to %sysfunc(countw(%superq(strata&z),%str( )));
_strata_&j
%end;;
run;
%end;
/**Counts number of stratification levels**/
%local _nstrata1 _nstrata2;
data _stratlevels;
/**Pulls if strata are present**/
%if %sysevalf(%superq(strata&z)^=,boolean) %then %do;
set _strata end=__last;
by _bylevel_
%do j=1 %to %sysfunc(countw(%superq(strata&z),%str( )));
_strata_&j
%end;;
if first._bylevel_ then _strata_=0;
if first._strata_%sysfunc(countw(%superq(strata&z),%str( ))) then _strata_+1;
%end;
/**Pulls if no strata are present**/
%else %do;
set _xbeta end=__last;
by _bylevel_;
_strata_=1;
%end;
/**Saves number of strata into macro variable**/
if last._bylevel_ then
call symputx('_nstrata'||strip(put(_bylevel_,12.)),strip(put(_strata_,12.)));
run;
/**Updates censor variable to always be a 0/1 type for this portion of code**/
proc sql;
update _stratlevels
set _cens_=case(_cens_)
when . then . /**missings stay missing - shouldn't happen**/
when %superq(cen_vl&z) then 0 /**Censor levels become 0**/
else 1 end;/**Other levels are considered events**/
quit;
/**Performs analysis by stratification levels**/
/**Sorts by time and descending status**/
proc sort data=_stratlevels out=__step1;
by _bylevel_ _strata_ _time_ descending _cens_;
/**Sorts by the distinct betas to get an ordered list**/
proc sort data=__step1 (keep=_bylevel_ _strata_ xbeta) nodupkey out=__ordered_xbeta;
by _bylevel_ _strata_ xbeta;
run;
/**Counts the number of distinct betas**/
data __ordered_xbeta;
set __ordered_xbeta;
by _bylevel_ _strata_;
if first._strata_ then n = 0;
n+1;
run;
/**Create macro variables for later**/
proc sql noprint;
%local _null_ _null2_ n _uv;
select _bylevel_,_strata_,count(*),count(distinct xbeta)
into :_null_,:_null_,:n separated by ', ',:_uv separated by ', '
from __step1 group by _bylevel_,_strata_;/**Number of patients, Number of distinct xbetas**/
create table __step2 as
select a.*,
(select distinct N from __ordered_xbeta
where a._bylevel_=_bylevel_ and a._strata_=_strata_ and a.xbeta=xbeta) as __rank
from __step1 a; /**Ranks patients by xbeta**/
quit;
/**Creates binary tree for indexing patients**/
/**This copies BTREE from survConcordance.fit**/
proc sort data=__step2 out=_ranks_prep (keep=_bylevel_ _strata_) nodupkey;
by _bylevel_ _strata_;
run;
data _ranks;
set _ranks_prep;
by _bylevel_ _strata_;
/**Create arrays and variables to match survConcordance.fit**/
array _uvs_ {%sysfunc(countw(%superq(_uv),%str(,)))} (&_uv);
array yet_to_do {%sysfunc(max(0,&_uv))};
array indx {%sysfunc(max(0,&_uv))};
array ranks {%sysfunc(max(0,&_uv))};
if first._strata_ then m+1;
call missing(of yet_to_do(*),of indx(*),of ranks(*));
depth=floor(log2(_uvs_(m)));
start=2**depth;
lastrow_length=1+_uvs_(m)-start;
do i = 1 to _uvs_(m);
yet_to_do(i)=i;
end;
do i = 1 to lastrow_length;
indx(i)=1+2*(i-1);
end;
do i = 1 to _uvs_(m);
if ^missing(indx(i)) then do;
ranks(yet_to_do(indx(i)))=start+(i-1);
end;
end;
do i = 1 to dim(indx);
if ^missing(indx(i)) then do;
yet_to_do(indx(i))=.;
end;
end;
count=1;
do i = 1 to dim(yet_to_do);
if ^missing(yet_to_do(i)) then do;
yet_to_do(count)=yet_to_do(i);
count=count+1;
yet_to_do(i)=.;
end;
end;
do while(start>1);
start=int(start/2);
do i = 1 to dim(indx);
indx(i)=.;
end;
do i = 1 to start;
indx(i)=1+2*(i-1);
end;
do i = 1 to dim(indx);
if ^missing(indx(i)) then do;
ranks(yet_to_do(indx(i)))=start+(i-1);
end;
end;
do i = 1 to dim(indx);
if ^missing(indx(i)) then do;
yet_to_do(indx(i))=.;
end;
end;
count=1;
do i = 1 to dim(yet_to_do);
if ^missing(yet_to_do(i)) then do;
yet_to_do(count)=yet_to_do(i);
count=count+1;
yet_to_do(i)=.;
end;
end;
end;
do i = 1 to dim(ranks);
/**Outputs indexes for the ranks**/
*call symput('_r'||strip(put(i,12.)),strip(put(ranks(i)-1,12.)));
ranks(i)=ranks(i)-1;
end;
keep _bylevel_ _strata_ ranks:;
run;
data __step2;
merge __step2 _ranks;
by _bylevel_ _strata_;
run;
/**Performs the C-index calculations**/
/**Copies the function docount from survConcordance.fit**/
data _step3;
set __step2 end=last;
by _bylevel_ _strata_;
/**Initializes arrays and variables for calculations**/
/**Method is to save values into temporary arrays and
then perform calculations on the last observation**/
array ranks {*} ranks:;
array _ns_ {%sysfunc(countw(%superq(n),%str(,)))} (&n);
array _uvs_ {%sysfunc(countw(%superq(_uv),%str(,)))} (&_uv);
array y {2,%sysfunc(max(0,&n))} _temporary_;
array wt {%sysfunc(max(0,&n))} _temporary_;
array indx {%sysfunc(max(0,&n))} _temporary_;
array count {5};
array twt (%sysevalf(2*%sysfunc(max(0,&_uv))));
array nwt (%sysevalf(2*%sysfunc(max(0,&_uv))));
if first._strata_ then do;
call missing(of y(*),of wt(*),of indx(*));
_nc_=0;
_nstrata_+1;
end;
_nc_+1;
n=_ns_(_nstrata_);
y(1,_nc_)=_time_;
y(2,_nc_)=_cens_;
wt(_nc_)=1;
i=1;
do while (__rank^=i);
i=i+1;
end;
indx(_nc_)=ranks(i);
ntree=_uvs_(_nstrata_);
vss=0;/**Initializes for standard error calculation**/
if last._strata_ then do;/**Starts calculations**/
do i = 1 to dim(twt);
twt(i)=0;nwt(i)=0;
end;
do i = 1 to dim(count);
count(i)=0;
end;
i=n-1;
do while(i ge 0);/**First While loop**/
ndeath=0;
if y[2,i+1]=1 then do;/**Event Section**/
j=i;
if j > 0 then do while(j>0 and y(2,j+1)=1 and y(1,j+1)=y(1,i+1));/**Start J Loop**/
ndeath=ndeath+wt(j+1);
index=indx(j+1);
k=i;
if k > j then do while(k>j);/**Adds to ties**/
count(4)=count(4)+wt(j+1)*wt(k+1);
k=k-1;
end;
else k=k-1;
count(3)=count(3)+wt(j+1)*nwt(index+1);/**Adds to time ties**/
child=2*index+1;
if child < ntree then
count(1)=count(1)+wt(j+1)*twt(child+1);/**Adds to concordant pairs**/
child=child+1;
if child < ntree then
count(2)=count(2)+wt(j+1)*twt(child+1);/**Adds to discordant pairs**/
do while(index >0);
parent=int((index-1)/2);
if band(index,1) then
count(2)=count(2)+wt(j+1)*(twt(parent+1)-twt(index+1));/**Adds to discordant pairs**/
else count(1)=count(1)+wt(j+1)*(twt(parent+1)-twt(index+1));/**Adds to concordant pairs**/
index=parent;
end;
j=j-1;
end;/**Ends J loop**/
else if j=0 then do;/**Finishes J=0 level of original loop**/
if y(2,j+1)=1 and y(1,j+1)=y(1,i+1) then do;/**Event Loop**/
ndeath=ndeath+wt(j+1);
index=indx(j+1);
k=i;
if k > j then do while(k>j);
count(4)=count(4)+wt(j+1)*wt(k+1);/**Adds to ties**/
k=k-1;
end;
else k=k-1;
count(3)=count(3)+wt(j+1)*nwt(index+1);/**Adds to time ties**/
child=2*index+1;
if child < ntree then
count(1)=count(1)+wt(j+1)*twt(child+1);/**Adds to concordant pairs**/
child=child+1;
if child < ntree then
count(2)=count(2)+wt(j+1)*twt(child+1);/**Adds to discordant pairs**/
do while(index >0);
parent=int((index-1)/2);
if band(index,1) then
count(2)=count(2)+wt(j+1)*(twt(parent+1)-twt(index+1));/**Adds to discordant pairs**/
else count(1)=count(1)+wt(j+1)*(twt(parent+1)-twt(index+1));/**Adds to concordant pairs**/
index=parent;
end;
j=j-1;
end;/**Ends event loop**/
end;/**Ends J=0 loop**/
end;/**Ends Event section**/
else j = i-1;
if i>j then do while (i>j);/**Sum of squares section**/
wsum1=0;
oldmean=twt(1)/2;
index=indx(i+1);
nwt(index+1)=nwt(index+1)+wt(i+1);
twt(index+1)=twt(index+1)+wt(i+1);
wsum2=nwt(index+1);
child=2*index + 1;
if child < ntree then wsum1=wsum1+twt(child+1);
do while(index > 0);
parent=int((index-1)/2);
twt(parent+1)=twt(parent+1)+wt(i+1);
if ^(band(index,1)) then wsum1=wsum1+(twt(parent+1)-twt(index+1));
index=parent;
end;
wsum3=twt(1) - (wsum1+wsum2);
lmean=wsum1/2;
umean=wsum1+wsum2+wsum3/2;
newmean=twt(1)/2;
myrank=wsum1+wsum2/2;
/**Adds to sum of squares**/
vss=vss+wsum1*(newmean+oldmean-2*lmean)*(newmean-oldmean);
vss=vss+wsum3*(newmean+oldmean+wt(i+1)-2*umean)*(oldmean-newmean);
vss=vss+wt(i+1)*(myrank-newmean)*(myrank-newmean);
i=i-1;
end;/**Ends sum of squares section**/
else i=i-1;
count(5)=count(5)+ndeath*vss/twt(1);/**Adds to variance**/
end;/**Ends first loop**/
concordant=count(1);
discordant=count(2);
ties=count(3);
ties_time=count(4);
std=2*sqrt(count(5));/**Calculates standard deviation**/
if concordant+discordant+ties > 0 then do;
c=(concordant+ties/2)/(concordant+discordant+ties);/**Calculates concordance**/
se=std/(2*sum(concordant,discordant,ties));/**Calculates standard error**/
end;
else do;
c=0;se=0;
end;
output;
end;
keep _bylevel_ _strata_ concordant discordant ties ties_time std c se;
run;
/**Puts all calculations by strata level into same dataset**/
/**Split by current BY level**/
/**Calculates overall C-index within current by level**/
data _cindex;
set _step3;
by _bylevel_ _strata_;
drop _strata_;
array temp {5} _temporary_;
if first._bylevel_ then do i = 1 to 5;
temp(i)=0;
end;
if ^(first._bylevel_ and last._bylevel_) then do;
temp(1)=temp(1)+concordant;
temp(2)=temp(2)+discordant;
temp(3)=temp(3)+ties;
temp(4)=temp(4)+ties_time;
temp(5)=temp(5)+std;
c=.;
se=.;
strata=_strata_;
output;
/**Calculates overall c-index**/
if last._bylevel_ then do;
concordant=temp(1);
discordant=temp(2);
ties=temp(3);
ties_time=temp(4);
std=temp(5);
c=(concordant+ties/2)/(concordant+discordant+ties);
se=std/(2*sum(concordant,discordant,ties));
strata=.;
output;
end;
drop i;
end;
else do;
strata=.;
output;
end;
run;
proc datasets nolist nodetails;
%if &debug=0 %then %do;
delete _stratlevels _strata _xbeta _xbetamv __ordered_xbeta _ranks _ranks_prep
__step1 __step2 _step3 _ranks;
%end;
quit;
%end;
%else %do;
data _cindex;
strata=.;_bylevel_=.;c=.;se=.;output;
run;
%end;
%end;
proc sql;
/**Creates a fresh table to insert analysis into for summary table if flagged**/
/**If not flagged, inserts new anlysis into current table**/
%local _model;
***Check if output table has been determined;
%if %sysevalf(%superq(out)=,boolean)=0 %then %do;
%if (&newtable=1 or %sysfunc(exist(&out))=0) and &z = 1 %then %do;
create table &out
(modelnum num 'Model Number',/**Tracks models to distinguish later in PROC REPORT**/
modeltype num, /**Tracks whether the data is KM or CIF**/
subind num 'Indentation Indicator',/**Determines if a row is indented or not in PROC REPORT**/
subtitle char(100) 'Factor Label',/**Sub-title for each model's analysis. Generally a description of the class variable**/
title char(2000) 'Model Title',/**Title for each model's analysis**/
footnote char(2000) 'Model Footnote',/**Footnotes for each model's analysis**/
total num 'Total',/**Number of patients**/
event num 'Events',/**Number of events**/
ev_n char(100) 'Events/N',/**Combination of events and patients. Format events/patients**/
n_ev char(100) 'N (Events)',/**Combination of events and patients. Format patients (events)**/
median char(50) 'Median',/**Median time-to-event with confidence interval**/
hr char(50) 'Hazard Ratio (CI)',/**Hazard ratio with confidence interval**/
timelist char(500) 'KM Estimate (CI)',/**Event time-point estimates**/
covpval char(50) 'Covariate Level P-value',/**Covariate Level P-value**/
pval char(50) 'Displayed P-value',/**Chosen P-value to display for model**/
cindex char(50) 'C-index (CI)',/**C-index for univariate model**/
totalmv num 'Total (Multivariate)',/**Number of patients**/
eventmv num 'Events (Multivariate)',/**Number of events**/
ev_nmv char(100) 'Events/N (Multivariate)',/**Combination of events and patients. Format events/patients**/
n_evmv char(100) 'N (Events) (Multivariate)',/**Combination of events and patients. Format patients (events)**/
medianmv char(50) 'Median (Multivariate)',/**Median time-to-event with confidence interval**/
hrmv char(50) 'Hazard Ratio (CI) (Multivariate)',/**Hazard ratio with confidence interval**/
timelistmv char(500) 'KM Estimate (CI) (Multivariate)',/**Event time-point estimates**/
pvalmv char(50) 'Displayed P-value (Multivariate)',/**Chosen P-value to display for model**/
covpvalmv char(50) 'Covariate Level P-value (Multivariate)',/**Covariate Level P-value**/
cindexmv char(50) 'C-index (CI)'/**C-index for multivariate model**/);
%let _model=0;
%end;
%else %if &z =1 %then %do;
/**Grab maximum modelnum from previous table to increment upon**/
select max(modelnum) into :_model from &out;
%end;
/**Create temporary table to insert analysis into before inserting into summary table**/
create table _temptable like &out;
%end;
%else %do;
%if &z=1 %then %do;
/**Default if no output table requested**/
create table _summary
(modelnum num 'Model Number',/**Tracks models to distinguish later in PROC REPORT**/
modeltype num, /**Tracks whether the data is KM or CIF**/
subind num 'Indentation Indicator',/**Determines if a row is indented or not in PROC REPORT**/
subtitle char(100) 'Factor Label',/**Sub-title for each model's analysis. Generally a description of the class variable**/
title char(2000) 'Model Title',/**Title for each model's analysis**/
footnote char(2000) 'Model Footnote',/**Footnotes for each model's analysis**/
total num 'Total',/**Number of patients**/
event num 'Events',/**Number of events**/
ev_n char(100) 'Events/N',/**Combination of events and patients. Format events/patients**/
n_ev char(100) 'N (Events)',/**Combination of events and patients. Format patients (events)**/
median char(50) 'Median',/**Median time-to-event with confidence interval**/
hr char(50) 'Hazard Ratio (CI)',/**Hazard ratio with confidence interval**/
timelist char(500) 'KM Estimate (CI)',/**Event time-point estimates**/
covpval char(50) 'Covariate Level P-value',/**Covariate Level P-value**/
pval char(50) 'Displayed P-value',/**Chosen P-value to display for model**/
cindex char(50) 'C-index (CI)',/**C-index for univariate model**/
totalmv num 'Total (Multivariate)',/**Number of patients**/
eventmv num 'Events (Multivariate)',/**Number of events**/
ev_nmv char(100) 'Events/N (Multivariate)',/**Combination of events and patients. Format events/patients**/
n_evmv char(100) 'N (Events) (Multivariate)',/**Combination of events and patients. Format patients (events)**/
medianmv char(50) 'Median (Multivariate)',/**Median time-to-event with confidence interval**/
hrmv char(50) 'Hazard Ratio (CI) (Multivariate)',/**Hazard ratio with confidence interval**/
timelistmv char(500) 'KM Estimate (CI) (Multivariate)',/**Event time-point estimates**/
pvalmv char(50) 'Displayed P-value (Multivariate)',/**Chosen P-value to display for model**/
covpvalmv char(50) 'Covariate Level P-value (Multivariate)',/**Covariate Level P-value**/
cindexmv char(50) 'C-index (CI)'/**C-index for multivariate model**/);
%let _model=0;
%end;
/**Create temporary table to insert analysis into before inserting into summary table**/
create table _temptable like _summary;
%end;
reset noprint;
/***Error Check if Enough Colors were Specified***/
%if %sysevalf(%superq(color&z)=,boolean)=0 %then %do;
%if %superq(nclass_&z) > %sysfunc(countw(%superq(color&z),%str( ))) and
%sysfunc(countw(%superq(color&z),%str( ))) > 1 %then %do;
%put ERROR: (Model &z: COLOR) Not enough line colors specified for number of class levels (%qupcase(%superq(color&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%else %do;
%put ERROR: (Model &z: COLOR) No line colors specified;
%let nerror_run=%eval(&nerror_run+1);
%end;
/***Error Check if Enough Plot Line Patterns were Specified***/
%if %sysevalf(%superq(pattern&z)=,boolean)=0 %then %do;
%if %superq(nclass_&z) > %sysfunc(countw(%superq(pattern&z),%str( ))) and
%sysfunc(countw(%superq(pattern&z),%str( ))) > 1 %then %do;
%put ERROR: (Model &z: PATTERN) Not enough patterns specified for number of class levels (%qupcase(%superq(pattern&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%else %do;
%put ERROR: (Model &z: PATTERN) No line patterns specified;
%let nerror_run=%eval(&nerror_run+1);
%end;
/**Adjusted**/
%if %sysevalf(%superq(pattern_adjust&z)^=,boolean) and (%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT) %then %do;
%if %superq(nclass_&z) > %sysfunc(countw(%superq(pattern_adjust&z),%str( ))) and
%sysfunc(countw(%superq(pattern_adjust&z),%str( ))) > 1 %then %do;
%put ERROR: (Model &z: PATTERN_ADJUST) Not enough patterns specified for number of class levels (%qupcase(%superq(pattern_adjust&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%else %do j=1 %to %superq(nclass_&z);
%local pattern_adjust&j._&z;
%if %sysfunc(countw(%superq(pattern_adjust&z),%str( ))) > 1 %then %let pattern_adjust&j._&z=%scan(%superq(pattern_adjust),&j,%str( ));
%else %Let pattern_adjust&j._&z=%superq(pattern_adjust);
%end;
%end;
%else %if (%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT) %then %do;
%put ERROR: (Model &z: PATTERN_ADJUST) No line patterns specified;
%let nerror_run=%eval(&nerror_run+1);
%end;
%if %sysevalf(%superq(plotci&z)=1,boolean) %then %do;
/**If Plot CI background fill is enabled**/
%if %sysevalf(%superq(plotcifill&z)=1,boolean) %then %do;
/***Error Check if Enough Colors were Specified for Confidence Bounds Fill***/
%if %sysevalf(%superq(plotcifillcolor&z)=,boolean)=0 %then %do;
%if %superq(nclass_&z) > %sysfunc(countw(%superq(plotcifillcolor&z),%str( ))) and
%sysfunc(countw(%superq(plotcifillcolor&z),%str( ))) > 1 %then %do;
%put ERROR: (Model &z: PLOTCIFILLCOLOR) Not enough line colors specified for number of class levels (%qupcase(%superq(plotcifillcolor&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%else %do;
%put ERROR: (Model &z: PLOTCIFILLCOLOR) No line colors specified;
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
/***Error Check if Enough Colors were Specified for Confidence Bounds Lines***/
%if %sysevalf(%superq(plotcilinecolor&z)=,boolean)=0 %then %do;
%if %superq(nclass_&z) > %sysfunc(countw(%superq(plotcilinecolor&z),%str( ))) and
%sysfunc(countw(%superq(plotcilinecolor&z),%str( ))) > 1 %then %do;
%put ERROR: (Model &z: PLOTCILINECOLOR) Not enough line colors specified for number of class levels (%qupcase(%superq(plotcilinecolor&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%else %do;
%put ERROR: (Model &z: PLOTCILINECOLOR) No line colors specified;
%let nerror_run=%eval(&nerror_run+1);
%end;
/***Error Check if Enough Plot Line Patterns were Specified***/
%if %sysevalf(%superq(color&z)=,boolean)=0 %then %do;
%if %superq(nclass_&z) > %sysfunc(countw(%superq(plotcilinepattern&z),%str( ))) and
%sysfunc(countw(%superq(plotcilinepattern&z),%str( ))) > 1 %then %do;
%put ERROR: (Model &z: PLOTCILINEPATTERN) Not enough patterns specified for number of class levels (%qupcase(%superq(plotcilinepattern&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%else %do;
%put ERROR: (Model &z: PLOTCILINEPATTERN) No line patterns specified;
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
/***Error Check if Enough Class Order Levels were Specified if Not Missing***/
%if %sysevalf(%superq(classorder&z)^=,boolean) %then %do;
%if %superq(nclass_&z) ^= %sysfunc(countw(%superq(classorder&z),%str( ))) %then %do;
%put ERROR: (Model &z: CLASSORDER) Different number of classorders specified than number of class levels (%qupcase(%superq(classorder&z)) vs. %sysfunc(strip(%superq(nclass_&z))) Class Levels);
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
/***Error Check if each level of class was specified in the class order list***/
%if %sysevalf(%superq(classorder&z)^=,boolean) and &nerror_run=0 %then %do;
%do i = 1 %to %superq(nclass_&z);
%local _test;
%let _test=;
%do j = 1 %to %sysfunc(countw(%superq(classorder&z),%str( )));
%if &i = %scan(%superq(classorder&z),&j,%str( )) %then %let _test=1;
%end;
%if &_test ^=1 %then %do;
%put ERROR: (Model &z: CLASSORDER) Number &i was not found in the CLASSORDER list;
%put ERROR: (Model &z: CLASSORDER): Each number from 1 to maximum number of levels in CLASS variable %qupcase(%superq(class&z)) (%sysfunc(strip(%superq(nclass_&z)))) must be represented;
%let nerror_run=%eval(&nerror_run+1);
%end;
%end;
%end;
%if &nerror_run > 0 %then %goto errhandl2;
%if %superq(sreverse&z) = 1 and %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
update _timelist
set survival=1-survival,
sdf_lcl=1-sdf_ucl,
sdf_ucl=1-sdf_lcl;
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
update _timelist_adj
set survival=1-survival,
sdf_lcl=1-sdf_ucl,
sdf_ucl=1-sdf_lcl;
%end;
%end;
%if %sysevalf(%superq(timelist&z)=,boolean)=0 %then %do;
%local _tl_times&z;
select distinct timelist into :_tl_times&z separated by '|'
from _timelist;
%end;
/**Insert analysis into final summary dataset**/
insert into _temptable
/*Inserts Header row for model*/
set modelnum=sum(&z,&_model),
modeltype=%if %sysevalf(%qupcase(%superq(method&z))=KM,boolean) %then %do;
%if %sysevalf(%superq(sreverse&z)=1,boolean) %then %do;
1
%end;
%else %do;
0
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=INVWTS,boolean) %then %do;
3
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=DIRECT,boolean) %then %do;
4
%end;
%else %do;
2
%end;,
title=strip("%superq(title&z)"),
footnote=strip(tranwrd("%superq(footnote&z)",'`','^n')),
subind=1,
%if %sysevalf("%superq(classdesc&z)"="",boolean) and %sysevalf(%superq(class&z)^=,boolean) %then %do;
subtitle=strip("%superq(label&z)"),
%end;
%else %do;
subtitle=strip("%superq(classdesc&z)"),
%end;
%if %sysevalf(%superq(class&z)=,boolean) %then %do;
total=(select total from _sum where _multi_=0),
event=(select failed from _sum where _multi_=0),
ev_n=(select strip(put(failed,12.))||'/'||strip(put(total,12.)) from _sum where _multi_=0),
n_ev=(select strip(put(total,12.))||' ('||strip(put(failed,12.))||')' from _sum where _multi_=0),
median=(select case (estimate)
when . then 'NE'
else strip(put(estimate, %sysevalf(%sysevalf(12.&&mediandigits&z)))) end || ' (' ||
case (lowerlimit)
when . then 'NE'
else strip(put(lowerlimit, %sysevalf(12.&&mediandigits&z))) end || '-' ||
case (upperlimit)
when . then 'NE'
else strip(put(upperlimit, %sysevalf(12.&&mediandigits&z))) end || ')'
from _quart where _multi_=0)
%if %sysevalf(%superq(timelist&z)=,boolean)=0 %then %do;
, timelist=(select case (&&listtimepoints&z)
when 1 then strip("%scan(%superq(_tl_times&z),1,|) %superq(timedx&z)")||": "
else '' end||
case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
from _timelist where _multi_=0 and timelist=%scan(%superq(_tl_times&z),1,|))
%do j=2 %to %sysfunc(countw(%superq(_tl_times&z),|));
set modelnum=sum(&z,&_model),
modeltype=%if %sysevalf(%qupcase(%superq(method&z))=KM,boolean) %then %do;
%if %sysevalf(%superq(sreverse&z)=1,boolean) %then %do;
1
%end;
%else %do;
0
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=INVWTS,boolean) %then %do;
3
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=DIRECT,boolean) %then %do;
4
%end;
%else %do;
2
%end;,
title=strip("%superq(title&z)"),
footnote=strip(tranwrd("%superq(footnote&z)",'`','^n')),
timelist=(select case (&&listtimepoints&z)
when 1 then strip("%scan(%superq(_tl_times&z),&j,|) %superq(timedx&z)")||": "
else '' end || case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
from _timelist where _multi_=0 and timelist=%scan(%superq(_tl_times&z),&j,|))
%end;
%end;
%end;
%else %do;
pval=%if %qupcase(%superq(plotpval&z))=LR %then %do;
strip(put((select problrchisq from _t3
where _multi_=0 and upcase(effect)=upcase(strip("_class_"))),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super #}'
%end;
%else %if %qupcase(%superq(plotpval&z))=SCORE %then %do;
strip(put((select probscorechisq from _t3
where _multi_=0 and upcase(effect)=upcase(strip("_class_"))),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super $}'
%end;
%else %if %qupcase(%superq(plotpval&z))=WALD and ^(%sysevalf(%qupcase(%superq(method&z))=CIF,boolean) and &sysvlong < 9.04.01M1) %then %do;
strip(put((select probchisq from _t3
where _multi_=0 and upcase(effect)=upcase(strip("_class_"))),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super +}'
%end;
%else %if %qupcase(%superq(plotpval&z))=LOGRANK %then %do;
strip(put((select probchisq from _ltest where _multi_=0),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super *}'
%end;
%else %if %qupcase(%superq(plotpval&z))=WILCOXON %then %do;
strip(put((select probchisq from _ltest where _multi_=0),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super @}'
%end;
%else %if %qupcase(%superq(plotpval&z))=GRAY %then %do;
strip(put((select probchisq from _ltest where _multi_=0),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super G}'
%end;
%else %do;
''
%end;,
cindex=(select strip(put(c,%sysevalf(12.&&cindexdigits&z)))||' ('||
strip(put(c-probit(1-&&alpha&z/2)*se,%sysevalf(12.&&cindexdigits&z)))||'-'||
strip(put(c+probit(1-&&alpha&z/2)*se,%sysevalf(12.&&cindexdigits&z)))||')'
from _cindex where _bylevel_=0 and strata=.)
%if %sysevalf(%superq(classcov&z)^=,boolean) or %sysevalf(%superq(contcov&z)^=,boolean) %then %do;
,pvalmv=%if %qupcase(%superq(plotpvalmv&z))=LR %then %do;
strip(put((select problrchisq from _t3
where _multi_=1 and upcase(effect)=upcase(strip("_class_"))),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super #}'
%end;
%else %if %qupcase(%superq(plotpvalmv&z))=SCORE %then %do;
strip(put((select probscorechisq from _t3
where _multi_=1 and upcase(effect)=upcase(strip("_class_"))),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super $}'
%end;
%else %if %qupcase(%superq(plotpvalmv&z))=WALD and ^(%sysevalf(%qupcase(%superq(method&z))=CIF,boolean) and &sysvlong < 9.04.01M1) %then %do;
strip(put((select probchisq from _t3
where _multi_=1 and upcase(effect)=upcase(strip("_class_"))),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super +}'
%end;
%else %if %qupcase(%superq(plotpvalmv&z))=LOGRANK and %sysevalf(%qupcase(%superq(method&z))=INVWTS,boolean) %then %do;
strip(put((select probchisq from _ltestmv),pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super *}'
%end;
%else %do;
''
%end;
,cindexmv=(select strip(put(c,%sysevalf(12.&&cindexdigits&z)))||' ('||
strip(put(c-probit(1-&&alpha&z/2)*se,%sysevalf(12.&&cindexdigits&z)))||'-'||
strip(put(c+probit(1-&&alpha&z/2)*se,%sysevalf(12.&&cindexdigits&z)))||')'
from _cindex where _bylevel_=1 and strata=.)
%end;
%end;
/*Inserts 1 row for each level of class variable*/
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do i = 1 %to %superq(nclass_&z);
set modelnum=sum(&z,&_model),
modeltype=%if %sysevalf(%qupcase(%superq(method&z))=KM,boolean) %then %do;
%if %sysevalf(%superq(sreverse&z)=1,boolean) %then %do;
1
%end;
%else %do;
0
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=INVWTS,boolean) %then %do;
3
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=DIRECT,boolean) %then %do;
4
%end;
%else %do;
2
%end;,
title=strip("%superq(title&z)"),
footnote=strip(tranwrd("%superq(footnote&z)",'`','^n')),
subind=0,subtitle=strip("%superq(class_&z._&i)") ,
total=(select total from _sum where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=0),
event=(select failed from _sum where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=0),
ev_n=(select strip(put(failed,12.))||'/'||strip(put(total,12.)) from _sum
where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=0),
n_ev=(select strip(put(total,12.))||' ('||strip(put(failed,12.))||')' from _sum
where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=0),
median=(select case (estimate)
when . then 'NE'
else strip(put(estimate, %sysevalf(12.&&mediandigits&z))) end || ' (' ||
case (lowerlimit)
when . then 'NE'
else strip(put(lowerlimit, %sysevalf(12.&&mediandigits&z))) end || '-' ||
case (upperlimit)
when . then 'NE'
else strip(put(upperlimit, %sysevalf(12.&&mediandigits&z))) end || ')'
from _quart where strip(_class_) = strip("%superq(class_&z._&i)") and _multi_=0),
hr = case ((select hazardratio from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and upcase(strip(classval0))=upcase(strip("%superq(class_&z._&i)")) and _multi_=0))
when . then "%superq(refhrtext&z)"
else (select strip(put(hazardratio, %sysevalf(12.&&hrdigits&z)))
|| ' (' ||
strip(put(hrlowercl, %sysevalf(12.&&hrdigits&z))) || '-' ||
strip(put(hruppercl, %sysevalf(12.&&hrdigits&z))) || ')' from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and upcase(classval0)=upcase(strip("%superq(class_&z._&i)")) and _multi_=0) end,
covpval = case ((select hazardratio from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and
upcase(strip(classval0))=upcase(strip("%superq(class_&z._&i)")) and _multi_=0))
when . then "%superq(refptext&z)"
else (select strip(put(probchisq,pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super +}' from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and upcase(classval0)=upcase(strip("%superq(class_&z._&i)")) and _multi_=0) end
%if %sysevalf(%superq(classcov&z)^=,boolean) or %sysevalf(%superq(contcov&z)^=,boolean) %then %do;
,totalmv=(select total from _sum where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=1),
eventmv=(select failed from _sum where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=1),
ev_nmv=(select strip(put(failed,12.))||'/'||strip(put(total,12.)) from _sum
where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=1),
n_evmv=(select strip(put(total,12.))||' ('||strip(put(failed,12.))||')' from _sum
where strip(_class_)=strip("%superq(class_&z._&i)") and _multi_=1),
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
medianmv=(select case (estimate)
when . then 'NE'
else strip(put(estimate, %sysevalf(12.&&mediandigits&z))) end || ' (' ||
case (lowerlimit)
when . then 'NE'
else strip(put(lowerlimit, %sysevalf(12.&&mediandigits&z))) end || '-' ||
case (upperlimit)
when . then 'NE'
else strip(put(upperlimit, %sysevalf(12.&&mediandigits&z))) end || ')'
from _quartmv where strip(_class_) = strip("%superq(class_&z._&i)")),
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
timelistmv=(select case (&&listtimepoints&z)
when 1 then strip("%scan(%superq(_tl_times&z),1,|) %superq(timedx&z)")||": "
else '' end ||case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
from _timelistmv where timelist=%scan(%superq(_tl_times&z),1,|) and strip(_class_)=strip("%superq(class_&z._&i)")),
%end;
%end;
hrmv = case ((select hazardratio from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and
upcase(classval0)=upcase(strip("%superq(class_&z._&i)")) and _multi_=1))
when . then "%superq(refhrtext&z)"
else (select strip(put(hazardratio, %sysevalf(12.&&hrdigits&z)))
|| ' (' ||
strip(put(hrlowercl, %sysevalf(12.&&hrdigits&z))) || '-' ||
strip(put(hruppercl, %sysevalf(12.&&hrdigits&z))) || ')' from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and upcase(classval0)=upcase(strip("%superq(class_&z._&i)")) and _multi_=1) end,
covpvalmv = case ((select hazardratio from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and
upcase(strip(classval0))=upcase(strip("%superq(class_&z._&i)")) and _multi_=1))
when . then "%superq(refptext&z)"
else (select strip(put(probchisq,pvalue%sysevalf(6.&&pvaldigits&z)))||'^{super +}' from _parm where
upcase(strip(parameter))=upcase(strip("_class_")) and upcase(classval0)=upcase(strip("%superq(class_&z._&i)")) and _multi_=1) end
%end;
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
, timelist=(select case (&&listtimepoints&z)
when 1 then strip("%scan(%superq(_tl_times&z),1,|) %superq(timedx&z)")||": "
else '' end ||case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
from _timelist where _multi_=0 and timelist=%scan(%superq(_tl_times&z),1,|) and strip(_class_)=strip("%superq(class_&z._&i)"))
%do j=2 %to %sysfunc(countw(%superq(_tl_times&z),|));
set modelnum=sum(&z,&_model),
modeltype=%if %sysevalf(%qupcase(%superq(method&z))=KM,boolean) %then %do;
%if %sysevalf(%superq(sreverse&z)=1,boolean) %then %do;
1
%end;
%else %do;
0
%end;
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=INVWTS,boolean) %then %do;
3
%end;
%else %if %sysevalf(%qupcase(%superq(method&z))=DIRECT,boolean) %then %do;
4
%end;
%else %do;
2
%end;,
title=strip("%superq(title&z)"),
footnote=strip(tranwrd("%superq(footnote&z)",'`','^n')),
subind=0,
timelist=(select case (&&listtimepoints&z)
when 1 then strip("%scan(%superq(_tl_times&z),&j,|) %superq(timedx&z)")||": "
else '' end||
case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
from _timelist where _multi_=0 and timelist=%scan(%superq(_tl_times&z),&j,|) and strip(_class_)=strip("%superq(class_&z._&i)"))
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
, timelistmv=(select case (&&listtimepoints&z)
when 1 then strip("%scan(%superq(_tl_times&z),&j,|) %superq(timedx&z)")||": "
else '' end||
case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
from _timelistmv where timelist=%scan(%superq(_tl_times&z),&j,|) and strip(_class_)=strip("%superq(class_&z._&i)"))
%end;
%end;
%end;
%end;
;
quit;
/**Create a dataset for plotting**/
data _plot_&z;
/**Reverses Order if DESC=1**/
%local i2;
merge
/*One set of columns for each class variable level*/
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx;
%if &j=0 %then %let sfx=;
%else %let sfx=_adj;
_surv&sfx. (
rename=(
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do; cl1=cl&sfx._&z %end; /**Class Variable**/
t1=t&sfx._&z /**Time Variable**/
c1=c&sfx._&z /**Censor Variable**/
s1=s&sfx._&z /**Survival Estimate Variable**/
lcl1=lcl&sfx._&z /**Survival 95% lower bound Variable**/
ucl1=ucl&sfx._&z /**Survival 95% upper bound Variable**/
%if %sysevalf(%qupcase(%superq(method&z))=CIF,boolean) %then %do;
vcif=vcif_&z /**Standard Error for CIF Function**/
%end;))
%end;
;
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx sfx2;
%if &j=0 %then %do;
%let sfx=;
%let sfx2=;
%end;
%else %do;
%let sfx2=%str( (Adjusted));
%let sfx=_adj;
%end;
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
%if %sysevalf(%superq(risklist&z)^=,boolean) and ^(%qupcase(&&method&z)=DIRECT and &j=1) and %qupcase(&&method&z)^=CIF and %qupcase(&&method&z)^=INVWTS %then %do;
if ^missing(cl&sfx._&z) then cl&sfx._&z=strip(substr(cl&sfx._&z,find(cl&sfx._&z,':')+1));
%end;
%else %do;
if ^missing(cl&sfx._&z) then cl&sfx._&z=strip(cl&sfx._&z)||"&sfx2.";
%end;
%end;
%else %do;
cl_&z=strip("%superq(classdesc&z)");
%end;
%end;
/**If requested to plot 1-S instead of S**/
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx;
%if &j=0 %then %let sfx=;
%else %let sfx=_adj;
%if %superq(sreverse&z) = 1 %then %do;
s&sfx._&z = 1-s&sfx._&z; /**Flip Survival Estimate Variable**/
c&sfx._&z = 1-c&sfx._&z; /**Flip Censor Marker Survival Estimate**/
_temp_=ucl&sfx._&z;/**Hold UCL Value**/
ucl&sfx._&z = 1-lcl&sfx._&z; /**Flip Survival Confidence Interval Upper Bound**/
lcl&sfx._&z = 1-_temp_; /**Flip Survival Confidence Interval Lower Bound**/
%end;
%end;
label
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx sfx2;
%if &j=0 %then %do;
%let sfx=;
%let sfx2=;
%end;
%else %do;
%let sfx=_adj;
%let sfx2=%str(Adjusted );
%end;
t_&z="Time: Plot &z"
s_&z="SDF Estimate: Plot &z"
lcl_&z="SDF 95% Lower Bound: Plot &z"
ucl_&z="SDF 95% Upper Bound: Plot &z"
c_&z="Censor Estimate: Plot &z"
cl_&z="Population Description &i: Plot &z"
%if %sysevalf(%qupcase(%superq(method&z))=CIF,boolean) %then %do;
vcif_&z="CIF Function Standard Error: Plot &z"
%end;
%end;;
drop _multi_;
run;
/**Sets up dataset for patients at risk**/
%if %sysevalf(%superq(risklist&z)=,boolean)=0 %then %do;
%local partitle_&z;
/**Determine if patients-at-risk header is requested**/
%if %sysevalf(%superq(parheader&z)=%str(),boolean)=0 %then %let partitle_&z = 1;
%else %let partitle_&z = 0;
%local i2;
data _riskplot;
merge
/**Make one set of columns per class variable**/
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx;
%if &j=0 %then %let sfx=;
%else %let sfx=_adj;
%do i = 1 %to %superq(nclass_&z);
/**Reverses Order if DESC=1**/
%if %superq(desc&z)=1 %then %let i2=%sysfunc(abs(%sysfunc(sum(&i,-%superq(nclass_&z),-1))));
%else %let i2=&i;
_splot (rename=(
time=time&i.&sfx._&z /**Time Variable**/
atrisk=risk&i.&sfx._&z /**Number of Patients-at-Risk Variable**/
_ncens=cens&i.&sfx._&z /**Number of Patients Censored Variable**/
_nevents=event&i.&sfx._&z /**Number of Patients Censored Variable**/)
/**Grab different class values depending on class order requested**/
/**Stratumnum is numbered by PROC LIFETEST in the order the class variables are displayed**/
%if %sysevalf(%superq(classorder&z)^=,boolean) and %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
where=(_multi_=&j and stratumnum=%scan(%superq(classorder&z),&i2)))
%end;
%else %do;
where=(_multi_=&j and stratumnum=&i2))
%end;
%end;
%end;
;
/**Sets up Variables for the header in the Patients-at-Risk table when RISKLOCATION=INSIDE**/
%if &&partitle_&z =1 %then %do;
if _n_ = 1 then do;
partitle_&z="&&parheader&z";
ncenstitle_&z="&&ncensheader&z";
neventstitle_&z="&&neventsheader&z";
end;
label partitle_&z="PAR Subheader: Plot &z"
ncenstitle_&z="Censored N Subheader: Plot &z"
neventstitle_&z="Events N Subheader: Plot &z";
%end;
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx;
%if &j=0 %then %let sfx=;
%else %let sfx=_adj;
%do i = 1 %to %superq(nclass_&z);
length atrisk&i.&sfx._&z ncens&i.&sfx._&z nevent&i.&sfx._&z $12.;
/**To be used in a BLOCKPLOT Value option**/
atrisk&i.&sfx._&z=strip(put(risk&i.&sfx._&z, 12.));
ncens&i.&sfx._&z=strip(put(cens&i.&sfx._&z, 12.));
nevent&i.&sfx._&z=strip(put(event&i.&sfx._&z, 12.));
drop risk&i.&sfx._&z cens&i.&sfx._&z event&i.&sfx._&z;
%end;
%end;
label
%do j = 0 %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx sfx2;
%if &j=0 %then %do;
%let sfx=;
%let sfx2=;
%end;
%else %do;
%let sfx=_adj;
%let sfx2=%str(Adjusted );
%end;
%do i = 1 %to %superq(nclass_&z);
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
time&i.&sfx._&z="&sfx2.PAR Time Class Level &i: Plot &z"
atrisk&i.&sfx._&z="&sfx2.PAR N Class Level &i: Plot &z"
ncens&i.&sfx._&z="&sfx2.Censored N Class Level &i: Plot &z"
nevent&i.&sfx._&z="&sfx2.Events N Class Level &i: Plot &z"
%end;
%else %do;
time&i._&z="PAR Time: Plot &z"
atrisk&i._&z="PAR N: Plot &z"
ncens&i._&z="Censored N: Plot &z"
nevent&i._&z="Events N: Plot &z"
%end;
%end;
%end;
;
drop stratumnum tatrisk _multi_;
run;
/**Merges patients-at-risk dataset with plot datset**/
data _plot_&z;
merge _plot_&z _riskplot;
run;
%end;
/**Reference lines **/
%if %sysevalf(%superq(reflines&z)^=,boolean) %then %do;
%if %sysevalf(%qupcase(%superq(reflines&z))=TIMEPOINTS,boolean) and
%sysevalf(%superq(timelist&z)^=,boolean) %then %do;
/**Create at table of values for the plot**/
proc sql noprint;
%if %sysevalf(%qupcase(%superq(reflinemethod&z))=FULL,boolean) %then %do;
create table _reflines_t as
select distinct timelist as ref_t_&z "Reference Lines Time Coordinates &z"
from (%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
select * from _timelist
%end;
%else %do;
select * from _timelistmv
%if &&plot_unadjust&z=1 %then %do;
OUTER UNION CORR
select * from _timelist
%end;
%end;);
create table _reflines_y as
select distinct %superq(xmult_&z)*survival as ref_y_&z "Reference Lines Y-Coordinate Coordinates &z"
from (%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
select * from _timelist
%end;
%else %do;
select * from _timelistmv
%if &&plot_unadjust&z=1 %then %do;
OUTER UNION CORR
select * from _timelist
%end;
%end;);
data _reflines;
merge _reflines_t _reflines_y;
run;
%end;
%else %if %sysevalf(%qupcase(%superq(reflinemethod&z))=DROP,boolean) %then %do;
create table _reflines as
select timelist as ref_t_&z "Reference Lines Time Coordinates &z",
%superq(xmult_&z)*SURVIVAL as ref_y_&z "Reference Line Y-Coordinate &z"
from (%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
select * from _timelist
%end;
%else %do;
select * from _timelistmv
%if &&plot_unadjust&z=1 %then %do;
OUTER UNION CORR
select * from _timelist
%end;
%end;);
%end;
quit;
%end;
%else %if %sysevalf(%qupcase(%superq(reflines&z))=MEDIANS,boolean) %then %do;
/**Create at table of values for the plot**/
proc sql noprint;
create table _reflines as
%if %sysevalf(%qupcase(%superq(reflinemethod&z))=FULL,boolean) %then %do;
select distinct estimate as ref_t_&z "Reference Lines Time Coordinates &z",
%superq(xmult_&z)*0.50 as ref_y_&z "Reference Line Y-Coordinate &z"
from (%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
select * from _quart
%end;
%else %do;
select * from _quartmv
%if &&plot_unadjust&z=1 %then %do;
OUTER UNION CORR
select * from _quart
%end;
%end;);
%end;
%else %if %sysevalf(%qupcase(%superq(reflinemethod&z))=DROP,boolean) %then %do;
select distinct estimate as ref_t_&z "Reference Lines Time Coordinates &z",
%superq(xmult_&z)*0.50 as ref_y_&z "Reference Line Y-Coordinate &z"
from (%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
select * from _quart
%end;
%else %do;
select * from _quartmv
%if &&plot_unadjust&z=1 %then %do;
OUTER UNION CORR
select * from _quart
%end;
%end;);
%end;
quit;
%end;
%if (%sysevalf(%qupcase(%superq(reflines&z))=TIMEPOINTS,boolean) and %sysevalf(%superq(timelist&z)^=,boolean)) or
%sysevalf(%qupcase(%superq(reflines&z))=MEDIANS,boolean) %then %do;
/**Merges reference lines dataset with plot datset**/
data _plot_&z;
merge _plot_&z _reflines;
run;
%end;
%end;
/**Determine which statistics are displayed in the plot**/
/*Class Level Gridded Block*/
%local _ndisplay_class_&z classcolumns hrcolumns;
%let _ndisplay_class_&z=0;
%let classcolumns=TOTAL|EVENT|MEDIAN|EV_N|N_EV|TOTALMV|EVENTMV|EV_NMV|N_EVMV;
%let hrcolumns=HR|HRMV|COVPVAL|COVPVALMV;
/*Model Level Gridded Block*/
%local _ndisplay_model_&z _ndisplay_mstats_&z _pvalcol_&z;
%let _ndisplay_model_&z=0;
%let _ndisplay_mstats_&z=0;
%if %sysevalf(%superq(display&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(display&z),%str( )));
%if %qupcase(%scan(%superq(display&z),&i,%str( )))=PVAL or %qupcase(%scan(%superq(display&z),&i,%str( )))=PVALMV %then %let _pvalcol_&z=1;
%end;
%if %index(%qupcase(%superq(display&z)),LEGEND) > 0 %then %do;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+1);
%let _display_class&&_ndisplay_class_&z.._&z = LEGEND;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+1);
%let _display_class&&_ndisplay_class_&z.._&z = LEGEND2;
%if &&_pvalcol_&z=1 or %index(%qupcase(%superq(display&z)),CINDEX) > 0
%index(%qupcase(%superq(display&z)),TABLECOMMENTS) > 0 or %superq(censormarkers&z)=1 %then %do;
%let _ndisplay_model_&z=%sysevalf(&&_ndisplay_model_&z+1);
%let _display_model&&_ndisplay_model_&z.._&z = LEGEND;
%end;
%end;
%if &&_pvalcol_&z=1 or %index(%qupcase(%superq(display&z)),TABLECOMMENTS) > 0
or %index(%qupcase(%superq(display&z)),CINDEX) > 0 %then %do;
%let _ndisplay_model_&z=%sysevalf(&&_ndisplay_model_&z+1);
%let _display_model&&_ndisplay_model_&z.._&z = STATS;
%end;
%if %superq(censormarkers&z)=1 %then %do;
%let _ndisplay_model_&z=%sysevalf(&&_ndisplay_model_&z+1);
%let _display_model&&_ndisplay_model_&z.._&z = CENSORS;
%end;
%if %sysevalf(%superq(display&z)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(display&z),%str( )));
%local _display_current;
%let _display_current=%qupcase(%scan(%superq(display&z),&i,%str( )));
%if %sysevalf(%superq(class&z)^=,boolean) %then %do j = 1 %to %sysfunc(countw(&hrcolumns,|));
%if &_display_current=%scan(&hrcolumns,&j,|) %then %do;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+1);
%let _display_class&&_ndisplay_class_&z.._&z = %scan(&hrcolumns,&j,|);
%end;
%end;
%do j = 1 %to %sysfunc(countw(&classcolumns,|));
%if &_display_current=%scan(&classcolumns,&j,|) %then %do;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+1);
%let _display_class&&_ndisplay_class_&z.._&z = %scan(&classcolumns,&j,|);
%end;
%end;
%if &_display_current=TIMELIST %then %do;
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+1);
%let _display_class&&_ndisplay_class_&z.._&z = TIMELIST;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+%superq(listtimepoints&z));
%if %superq(listtimepoints&z) %then %do;
%let _display_class&&_ndisplay_class_&z.._&z = TIMEPOINTS;
%end;
%end;
%if %qupcase(%superq(risklocation&z))= TIMELIST and %sysevalf(%superq(risklist&z)^=,boolean) %then %do;
%let _ndisplay_class_&z=%sysevalf(&&_ndisplay_class_&z+1);
%let _display_class&&_ndisplay_class_&z.._&z = RISKTABLE;
%end;
%end;
%do j = 1 %to %sysfunc(countw(PVAL|PVALMV,|));
%if &_display_current=%scan(PVAL|PVALMV,&j,|) and %sysevalf(%superq(class&z)^=,boolean) %then %do;
%let _ndisplay_mstats_&z=%sysevalf(&&_ndisplay_mstats_&z+1);
%let _display_mstats&&_ndisplay_mstats_&z.._&z = %scan(PVAL|PVALMV,&j,|);
%end;
%end;
%do j = 1 %to %sysfunc(countw(CINDEX|CINDEXMV,|));
%if &_display_current=%scan(CINDEX|CINDEXMV,&j,|) and %sysevalf(%superq(class&z)^=,boolean) %then %do;
%let _ndisplay_mstats_&z=%sysevalf(&&_ndisplay_mstats_&z+1);
%let _display_mstats&&_ndisplay_mstats_&z.._&z = %scan(CINDEX|CINDEXMV,&j,|);
%end;
%end;
%if &_display_current=TABLECOMMENTS and %sysevalf(%superq(tablecomments&z)^=,boolean) %then %do;
%let _ndisplay_mstats_&z=%sysevalf(&&_ndisplay_mstats_&z+1);
%let _display_mstats&&_ndisplay_mstats_&z.._&z = TABLECOMMENTS;
%let _ndisplay_mstats_&z=%sysevalf(&&_ndisplay_mstats_&z-1+%sysfunc(countw(%superq(tablecomments&z),`,m)));
%end;
%end;
proc sql noprint;
/**saves values of each metric to macro variables**/
/**Hazard Ratios and Confidence Bounds**/
%if %sysevalf(%superq(class&z)^=,boolean) %then %do;
%local hr&z;
select hr into :hr&z separated by '|'
from _temptable
where ^missing(hr);
%if %sysevalf(%superq(classcov&z)^=,boolean) or %sysevalf(%superq(contcov&z)^=,boolean) %then %do;
%local hrmv&z;
select hrmv into :hrmv&z separated by '|'
from _temptable
where ^missing(hrmv);
/**Total number of patients**/
%local totalmv&z;
select totalmv into :totalmv&z separated by '|'
from _temptable
where ^missing(totalmv);
/**Total number of events**/
%local eventmv&z;
select eventmv into :eventmv&z separated by '|'
from _temptable
where ^missing(eventmv);
/**Formatted events/total**/
%local ev_nmv&z;
select ev_nmv into :ev_nmv&z separated by '|'
from _temptable
where ^missing(ev_nmv);
/**Formatted total (events)**/
%local ev_nmv&z;
select strip(put(totalmv,12.))||' ('||strip(put(eventmv,12.))||')' into :n_evmv&z separated by '|'
from _temptable
where ^missing(totalmv) and ^missing(eventmv);
%local pvalmv&z;
select scan(pvalmv,1,'^') into :pvalmv&z
from _temptable
where ^missing(pvalmv);
%local cindexmv&z;
select cindexmv into :cindexmv&z
from _temptable
where ^missing(cindexmv);
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
%local medianmv&z;
select medianmv into :medianmv&z separated by '|'
from _temptable
where ^missing(medianmv);
/**Adjusted Time-point estimates**/
%local ntlmv_&z;
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
select count(distinct timelist) into :ntlmv_&z
from _timelistmv;
%local timelistmvn&z timelistmvv&z;
select timelist,strip(put(timelist, best12.3)) || " %superq(timedx&z)"
into :timelistmvn&z separated by '|',:timelistmvv&z separated by '|'
from (select distinct timelist from _timelistmv);
%do k = 1 %to %superq(ntlmv_&z);
%local timelistmv_&k._&z;
select
case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
into :timelistmv_&k._&z separated by '|'
from (
%if %sysevalf(%superq(class&z)=,boolean) %then %do;
select * from _timelistmv
%end;
%else %do i = 1 %to %superq(nclass_&z);
select * from _timelistmv
%if %sysevalf(%superq(class&z)=,boolean)=0 %then %do;
where strip(_class_)=strip("%superq(class_&z._&i)")
%end;
%if &i < %superq(nclass_&z) %then %do; OUTER UNION CORR %end;
%end;)
where timelist=%scan(%superq(timelistmvn&z),&k,|);
%end;
%end;
%end;
%end;
%end;
/**Median time-to-events and confidence bounds**/
%local median&z;
select median into :median&z separated by '|'
from _temptable
where ^missing(median);
/**Total number of patients**/
%local total&z;
select total into :total&z separated by '|'
from _temptable
where ^missing(total);
/**Total number of events**/
%local event&z;
select event into :event&z separated by '|'
from _temptable
where ^missing(event);
/**Formatted events/total**/
%local ev_n&z;
select ev_n into :ev_n&z separated by '|'
from _temptable
where ^missing(ev_n);
/**Formatted total (events)**/
%local ev_n&z;
select strip(put(total,12.))||' ('||strip(put(event,12.))||')' into :n_ev&z separated by '|'
from _temptable
where ^missing(total) and ^missing(event);
/**P-values**/
%if %sysevalf(%superq(class&z)^=,boolean) %then %do;
/**Model Level P-values**/
%local pval&z;
select scan(pval,1,'^') into :pval&z
from _temptable
where ^missing(pval);
/**Univariate C-index**/
%local cindex&z;
select cindex into :cindex&z
from _temptable
where ^missing(cindex);
/**Covariate Level P-values**/
%local covpval&z;
select scan(covpval,1,'^') into :covpval&z separated by '|'
from _temptable
where ^missing(covpval);
%if %sysevalf(%superq(classcov&z)^=,boolean) or %sysevalf(%superq(contcov&z)^=,boolean) %then %do;
%local covpvalmv&z;
select scan(covpvalmv,1,'^') into :covpvalmv&z separated by '|'
from _temptable
where ^missing(covpvalmv);
%end;
%end;
/**Time-point estimates**/
%local ntl_&z;
%if %sysevalf(%superq(timelist&z)^=,boolean) %then %do;
select count(distinct timelist) into :ntl_&z
from _timelist;
%local timelistn&z timelistv&z;
select timelist,strip(put(timelist, best12.3)) || " %superq(timedx&z)"
into :timelistn&z separated by '|',:timelistv&z separated by '|'
from (select distinct timelist from _timelist where _multi_=0);
%do k = 1 %to %superq(ntl_&z);
%local timelist_&k._&z;
select
case(survival)
when . then 'NE'
else strip(put(%superq(xmult_&z) *survival,%superq(tfmt_&z)))end || ' (' ||
case(sdf_lcl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_lcl,%superq(tfmt_&z))) end || '-' ||
case (sdf_ucl)
when . then 'NE'
else strip(put(%superq(xmult_&z) *sdf_ucl,%superq(tfmt_&z))) end ||
%if %sysfunc(upcase(%superq(ytype&z))) = PCT %then %do; '%' || %end; ')'
into :timelist_&k._&z separated by '|'
from (
%if %sysevalf(%superq(class&z)=,boolean) %then %do;
select * from _timelist where _multi_=0
%end;
%else %do i = 1 %to %superq(nclass_&z);
select distinct timelist,survival,sdf_lcl,sdf_ucl from _timelist
where _multi_=0 and strip(_class_)=strip("%superq(class_&z._&i)")
%if &i < %superq(nclass_&z) %then %do; OUTER UNION CORR %end;
%end;)
where timelist=%scan(%superq(timelistn&z),&k,|);
%end;
%end;
/**Patients-at-Risk inside plot summary table**/
%if %sysevalf(%superq(timelist&z)^=,boolean) and %sysevalf(%superq(risklist&z)^=,boolean) and
%qupcase(%superq(risklocation&z))=TIMELIST %then %do k = 1 %to %superq(ntl_&z);
%local risklist_&k._&z;
select strip(atrisk) into :risklist_&k._&z separated by '|'
from
(select atrisk1_&z as atrisk from _riskplot
where time1_&z=%scan(%superq(timelistn&z),&k,|)
%do i = 2 %to %superq(nclass_&z);
OUTER UNION CORR
select atrisk&i._&z as atrisk
from _riskplot
where time&i._&z=%scan(%superq(timelistn&z),&k,|)
%end;);
%end;
/**Patients-at-Risk outside summary table**/
%if %sysevalf(%superq(risklist&z)^=,boolean) %then %do i = 1 %to %superq(nclass_&z);
%local risklist_t_&i._&z risklist_v_&i._&z risklist_c_&i._&z risklist_e_&i._&z;
select time&i._&z,atrisk&i._&z,ncens&i._&z,nevent&i._&z
into :risklist_t_&i._&z separated by '|',:risklist_v_&i._&z separated by '|',
:risklist_c_&i._&z separated by '|',:risklist_e_&i._&z separated by '|'
from _riskplot
where ^missing(atrisk&i._&z);
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
%local risklist_t_&i._adj_&z risklist_v_&i._adj_&z risklist_c_&i._adj_&z risklist_e_&i._adj_&z;
select time&i._adj_&z,atrisk&i._adj_&z,ncens&i._adj_&z,nevent&i._adj_&z
into :risklist_t_&i._adj_&z separated by '|',:risklist_v_&i._adj_&z separated by '|',
:risklist_c_&i._adj_&z separated by '|',:risklist_e_&i._adj_&z separated by '|'
from _riskplot
where ^missing(atrisk&i._adj_&z);
%end;
%end;
/**Inserts values from temporary analysis summary into output dataset**/
%if %sysevalf(%superq(out)=,boolean)=0 %then %do;
insert into &out
select * from _temptable;
%end;
%else %do;
insert into _summary
select * from _temptable;
%end;
quit;
/**Run-time Errors are sent there to delete temporary datasets before being sent to
errhandl, which stops the macro**/
%errhandl2:
proc datasets nodetails nolist;
%if &debug=0 %then %do;
delete _temptable _ltest _parm _parmmv _quart _sum _summv _surv _t3 _t3mv _reflines _reflines_t _reflines_y
_riskplot _splot _timelist _tempdsn&z _tempcif _tempcif2 _score _variance _stat _cindex
_adjwts_prep _adjwts _surv_adj _ltestmv _quartmv _timelistmv _surv_adj2 _covs _splot_adj _dclass;
%end;
quit;
/**If errors occurred then throw message and end macro**/
%if &nerror_run > 0 %then %do;
%put ERROR: &nerror_run run-time errors listed;
%put ERROR: Macro NEWSURV will cease;
%goto errhandl;
%end;
%end;/**Ends Analysis Loop**/
/**Put all model plot datasets together for final plot dataset**/
data _plot;
merge
%do z = 1 %to &nmodels;
_plot_&z
%end; ;
run;
/***Delete tails after xmax or below ymin for plotting***/
data _plot;
set _plot;
%do z = 1 %to &nmodels;
%if %sysevalf(%superq(class&z)^=,boolean) %then %do;
length cl_&z._lag $300.;
cl_&z._lag=lag1(cl_&z.);
if cl_&z^=cl_&z._lag then flag_&z=0;
%end;
s_&z._lag=lag1(s_&z);
lcl_&z._lag=lag1(lcl_&z);
ucl_&z._lag=lag1(ucl_&z);
retain flag_&z;
if flag_&z^=1 then do;
if t_&z > %superq(xmax&z) then do;
t_&z = %superq(xmax&z);
s_&z=s_&z._lag;
lcl_&z=lcl_&z._lag;
ucl_&z=ucl_&z._lag;
flag_&z=1;
end;
if s_&z*%superq(xmult_&z) lt %superq(ymin&z) then do;
s_&z = %superq(ymin&z)/%superq(xmult_&z);
flag_&z=1;
end;
end;
else do;
t_&z = .;
s_&z = .;
lcl_&z = .;
ucl_&z = .;
end;
drop flag_&z s_&z._lag lcl_&z._lag ucl_&z._lag
%if %sysevalf(%superq(class&z)^=,boolean) %then %do; cl_&z._lag %end;;
%end;
run;
/**Creates template for Kaplan-Meier curve**/
/*Calculate how many rows for each model*/
%do z = 1 %to &nmodels;
%local _rows&z _rowweights&z;
%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %let _rows&z=%sysevalf(1+%sysfunc(countw(%superq(pardisplay&z),%str( )))
*%superq(nclass_&z)*(1+%sysevalf(%qupcase(%superq(risklabellocation&z))=ABOVE,boolean)));
%else %let _rows&z=%sysevalf(1+%sysfunc(countw(%superq(pardisplay&z),%str( )))
*(1+&&plot_unadjust&z)*%superq(nclass_&z)*(1+%sysevalf(%qupcase(%superq(risklabellocation&z))=ABOVE,boolean)));
%do j = 1 %to %sysfunc(countw(%superq(pardisplay&z),%str( )));
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&j,%str( )))=PAR,boolean) and
%sysevalf(%superq(parheader&z)^=,boolean) %then %let _rows&z=%sysevalf(%superq(_rows&z)+1);
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&j,%str( )))=NCENS,boolean) and
%sysevalf(%superq(ncensheader&z)^=,boolean) %then %let _rows&z=%sysevalf(%superq(_rows&z)+1);
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&j,%str( )))=NEVENTS,boolean) and
%sysevalf(%superq(neventsheader&z)^=,boolean) %then %let _rows&z=%sysevalf(%superq(_rows&z)+1);
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&j,%str( )))=PAR_NEVENTS,boolean) and
%sysevalf(%superq(neventsheader&z)^=,boolean) and
%sysevalf(%superq(parheader&z)^=,boolean) %then %let _rows&z=%sysevalf(%superq(_rows&z)+1);
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&j,%str( )))=PAR_NCENS,boolean) and
%sysevalf(%superq(ncensheader&z)^=,boolean) and
%sysevalf(%superq(parheader&z)^=,boolean) %then %let _rows&z=%sysevalf(%superq(_rows&z)+1);
%end;
%end;
/*Calculate row weights for uniform height lattice*/
%if &uniformheight=1 and &nmodels > 1 and %sysfunc(find(%superq(risklocation),bottom,i))>0 and
%sysevalf(%superq(risklist)^=,boolean) %then %do;
%local _maxrows _maxrowweights;
%let _maxrows=%superq(_rows1);
%let _maxrowweights=%superq(riskrowweights1);
%do i=2 %to &nmodels;
%let _maxrows=%sysfunc(max(&_maxrows,%superq(_rows&i)));
%let _maxrowweights=%sysfunc(max(&_maxrowweights,%superq(riskrowweights&i)));
%end;
%end;
proc template;
/*Template for Summary Table: HTML, EXCEL, PDF*/
define style _newsurvtable;
parent=styles.rtf;
style Table /
color=black
cellpadding = 0
borderspacing = 0
cellspacing=0
frame = void
rules = groups
bordercollapse = separate
borderleftstyle = none
borderrightstyle = none
bordertopstyle = none
borderbottomstyle = none;
style Header /
color=black
vjust=bottom
backgroundcolor = white
bordercollapse = separate
borderleftstyle = none
borderrightstyle = none
bordertopstyle = solid
borderbottomstyle = solid
borderbottomcolor=black
bordertopcolor=black
bordertopwidth=0.1
borderbottomwidth=0.1
fontfamily="&TABLEHEADERFAMILY"
fontsize=&TABLEHEADERSIZE
fontweight=&tableheaderweight;
style Data /
color=black
backgroundcolor = white
bordercolor = white
borderstyle = none
fontfamily="&TABLEDATAFAMILY"
fontsize=&TABLEDATASIZE
fontweight=&tabledataweight
vjust=top;
class linecontent /
background=white
fontsize=&tablefootnotesize
color=black
fontfamily="&tablefootnotefamily"
fontweight=&tablefootnoteweight;
End;
/*Template for Summary Table: POWERPOINT*/
define style _newsurvtableppt;
parent=styles.powerpointlight;
class Header /
background=white
fontfamily="&TABLEHEADERFAMILY"
fontsize=&TABLEHEADERSIZE
fontweight=&tableheaderweight
color=black
vjust=bottom
borderstyle=solid
bordercolor=black
borderwidth=0.1 ;
class Data /
background=white
color=black
fontfamily="&TABLEDATAFAMILY"
fontsize=&TABLEDATASIZE
fontweight=&tabledataweight
vjust=top
borderstyle=hidden;
class linecontent /
background=white
fontsize=&tablefootnotesize
color=black
fontfamily="&tablefootnotefamily"
fontweight=&tablefootnoteweight
borderstyle=solid
bordercolor=black
borderwidth=0.1;
class Table /
color=black
cellpadding=0
borderspacing=0
cellspacing=0
frame=void
rules=rows
borderstyle=solid
bordercolor=black
borderwidth=0.1pt;
End;
/*Template for Graph*/
define statgraph _km;
begingraph / designheight=&height designwidth=&width
backgroundcolor=&background
%if %superq(transparent)=1 %then %do;
opaque=false
%end;
/**Turns the border around the plot off if border=0**/
%if %superq(border)=0 %then %do;
border=false
%if %superq(transparent)=1 %then %do;
pad=0px
%end;
%end;;
/**Create overall plot title**/
%if %sysevalf(%superq(ovtitle)=,boolean)=0 %then %do i = 1 %to %sysfunc(countw(%superq(ovtitle),`,m));
entrytitle halign=&ovtitlealign "%scan(%superq(ovtitle),&i,`,m)" /
textattrs=(color=&fontcolor weight=&ovtweight size=&ovtsize family="&ovtfamily" style=normal);
%end;
/**Create overall plot footnote**/
%if %sysevalf(%superq(ovfootnote)=,boolean)=0 %then %do;
entryfootnote halign=&ovfootnotealign "&ovfootnote" /
textattrs=(color=&fontcolor weight=&ovfnweight size=&ovfnsize family="&ovfnfamily" style=normal);
%end;
/*Creates Discrete Attribute Map*/
%do z = 1 %to &nmodels;
discreteattrmap name="UA&z";
%do i = 1 %to %superq(nclass_&z);
value "%trim(%superq(class_&z._&i))" /
lineattrs=(thickness=&&linesize&z
%if %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%if %qupcase(%superq(pattern&z)) = AUTO %then %do;
/**When all colors are the same, AUTO makes each pattern different**/
pattern=&i
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern&z))) > 1 %then %do; pattern=%scan(%superq(pattern&z),&i) %end;
%else %do; pattern=%superq(pattern&z) %end;
%end;
%end;
%else %do;
%if %upcase(%superq(pattern&z)) = AUTO %then %do;
/**When all colors are the different, AUTO makes each pattern solid**/
pattern=solid
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern&z))) > 1 %then %do; pattern=%scan(%superq(pattern&z),&i) %end;
%else %do; pattern=%superq(pattern&z) %end;
%end;
color=%scan(%superq(color&z), &i)
%end;)
markerattrs=(
%if %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %do;
color=%scan(%superq(color&z), &i)
%end;
symbol=plus
size=%superq(symbolsize&z) weight=%superq(symbolweight&z));
%end;
enddiscreteattrmap;
discreteattrvar attrvar=_ua_&z var=cl_&z attrmap="UA&z";
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
discreteattrmap name="A&z";
%do i = 1 %to %superq(nclass_&z);
value "%trim(%superq(class_&z._&i)) (Adjusted)" /
lineattrs=(thickness=&&linesize&z
%if %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%if %qupcase(%superq(pattern_adjust&z)) = AUTO %then %do;
/**When all colors are the same, AUTO makes each pattern different**/
%if &&plot_unadjust&z=1 %then %do;
pattern=%sysevalf(&&nclass_&z + &i)
%end;
%else %do;
pattern=&i
%end;
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern_adjust&z))) > 1 %then %do; pattern=%scan(%superq(pattern_adjust&z),&i) %end;
%else %do; pattern=%superq(pattern_adjust&z) %end;
%end;
%end;
%else %do;
%if %upcase(%superq(pattern_adjust&z)) = AUTO %then %do;
/**When all colors are the different, AUTO makes each pattern solid**/
%if &&plot_unadjust&z=1 %then %do; pattern=2 %end;
%else %do; pattern=solid %end;
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern_adjust&z))) > 1 %then %do; pattern=%scan(%superq(pattern_adjust&z),&i) %end;
%else %do; pattern=%superq(pattern_adjust&z) %end;
%end;
color=%scan(%superq(color&z), &i)
%end;)
markerattrs=(
%if %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %do;
color=%scan(%superq(color&z), &i)
%end;
symbol=plus
size=%superq(symbolsize&z) weight=%superq(symbolweight&z));
%end;
enddiscreteattrmap;
discreteattrvar attrvar=_a_&z var=cl_adj_&z attrmap="A&z";
%end;
/**Confidence Bounds if flagged**/
%if %superq(plotci&z) = 1 or
(%superq(plotci&z)=2 and %sysevalf(%superq(class&z)=,boolean)) %then %do;
discreteattrmap name="UA_CI_&z";
%do i = 1 %to %superq(nclass_&z);
value "%trim(%superq(class_&z._&i))" /
fillattrs=(transparency=%superq(plotcifilltransparency&z)
%if %sysfunc(countw(%superq(plotcifillcolor&z))) = 1 %then %do;
color=%superq(plotcifillcolor&z)
%end;
%else %do;
color=%scan(%superq(plotcifillcolor&z), &i)
%end;)
lineattrs=(thickness=%superq(plotcilinesize&z)
%if %sysfunc(countw(%superq(plotcilinecolor&z))) = 1 %then %do;
color=%superq(plotcilinecolor&z)
%end;
%else %do;
color=%scan(%superq(plotcilinecolor&z), &i)
%end;
%if %sysfunc(countw(%superq(plotcilinepattern&z))) = 1 %then %do;
pattern=%superq(plotcilinepattern&z)
%end;
%else %do;
pattern=%scan(%superq(plotcilinepattern&z), &i)
%end;);
%end;
enddiscreteattrmap;
discreteattrvar attrvar=_ua_ci_&z var=cl_&z attrmap="UA_CI_&z";
%end;
%end;
%do z = 1 %to &nmodels;
/**Legend Spacer**/
legendItem type=line name="spacer" / label=' ' lineattrs=(thickness=0pt color=&background);
/*Creates Censor Legend*/
legendItem type=marker name="cens&z" / markerattrs=(color=&fontcolor symbol=plus) label='Censor'
labelattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%do i = 1 %to %superq(nclass_&z);
legendItem type=line name="plot&i._&z" /
lineattrs=(thickness=&&linesize&z
%if %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%if %qupcase(%superq(pattern&z)) = AUTO %then %do;
/**When all colors are the same, AUTO makes each pattern different**/
pattern=&i
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern&z))) > 1 %then %do; pattern=%scan(%superq(pattern&z),&i) %end;
%else %do; pattern=%superq(pattern&z) %end;
%end;
%end;
%else %do;
%if %upcase(%superq(pattern&z)) = AUTO %then %do;
/**When all colors are the different, AUTO makes each pattern solid**/
pattern=solid
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern&z))) > 1 %then %do; pattern=%scan(%superq(pattern&z),&i) %end;
%else %do; pattern=%superq(pattern&z) %end;
%end;
color=%scan(%superq(color&z), &i)
%end;)
label=' ' labelattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
legendItem type=line name="plot&i.mv_&z" /
lineattrs=(thickness=&&linesize&z
%if %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%if %qupcase(%superq(pattern_adjust&z)) = AUTO %then %do;
/**When all colors are the same, AUTO makes each pattern different**/
%if &&plot_unadjust&z=1 %then %do;
pattern=%sysevalf(&&nclass_&z + &i)
%end;
%else %do;
pattern=&i
%end;
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern_adjust&z))) > 1 %then %do; pattern=%scan(%superq(pattern_adjust&z),&i) %end;
%else %do; pattern=%superq(pattern_adjust&z) %end;
%end;
%end;
%else %do;
%if %upcase(%superq(pattern_adjust&z)) = AUTO %then %do;
/**When all colors are the different, AUTO makes each pattern solid**/
%if &&plot_unadjust&z=1 %then %do; pattern=2 %end;
%else %do; pattern=solid %end;
%end;
%else %do;
%if %sysfunc(countw(%superq(pattern_adjust&z))) > 1 %then %do; pattern=%scan(%superq(pattern_adjust&z),&i) %end;
%else %do; pattern=%superq(pattern_adjust&z) %end;
%end;
color=%scan(%superq(color&z), &i)
%end;)
label=' ' labelattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%end;
%end;
/**Creates outer lattice block to contain all model plots**/
layout lattice / columns=&columns rows=&rows opaque=false columngutter=&columngutter rowgutter=&rowgutter
order=&order columndatarange=DATA rowdatarange=DATA opaque=false;
/**Begins to fill in each cell of outer lattice block**/
%do z = 1 %to &nmodels;
layout lattice / columns=1 rows=1 opaque=false;
/**Creates footnotes at bottom of inner lattice block**/
%if %sysevalf(%superq(footnote&z)=,boolean)=0 %then %do;
/**SIDEBAR block extends entire bottom length of inner lattice block**/
sidebar / align=bottom;
/**Layout Gridded allows multiple rows of ENTRY statements within one SIDEBAR**/
layout gridded / rows=%sysfunc(countw(%superq(footnote&z),`,m)) border=false;
%do i = 1 %to %sysfunc(countw(%superq(footnote&z),`,m));
entry halign=%superq(footnotealign&z) "%scan(%superq(footnote&z),&i,`,m)" /
textattrs=(color=&fontcolor weight=%superq(fnweight&z) size=%superq(fnsize&z) family="%superq(fnfamily&z)");
%end;
endlayout;
endsidebar;
%end;
/**Creates a SIDEBAR block in the plot layout block to allow for individual model titles**/
sidebar /align=top;
%if %sysevalf(%superq(title&z)=,boolean)=0 %then %do;
layout gridded / rows=%sysfunc(countw(%superq(title&z),`,m)) border=false;
%do i = 1 %to %sysfunc(countw(%superq(title&z),`,m));
entry halign=%superq(titlealign&z) "%scan(%superq(title&z),&i,`,m)" /
textattrs=(color=&fontcolor weight=%superq(tweight&z) size=%superq(tsize&z) family="%superq(tfamily&z)");
%end;
endlayout;
%end;
endsidebar;
/**Creates inner lattice block. Adds a row if RISKLOCATION=BOTTOM. Row Weights determined by RISKROWWEIGHTS**/
layout lattice / columns=1 columndatarange=union opaque=false
%if (%sysevalf(%superq(risklist&z)^=,boolean) and %sysevalf(%qupcase(%superq(risklocation&z))=BOTTOM,boolean)=1) or
(%sysevalf(%superq(risklist)^=,boolean) and &uniformheight=1 and &nmodels > 1 and %sysfunc(find(%superq(risklocation),bottom,i))>0) %then %do;
%if &uniformheight=1 and &nmodels > 1 and %sysfunc(find(%superq(risklocation),bottom,i))>0 %then %do;
rows=%sysevalf(1+&_maxrows)
rowweights=(%sysevalf(1-%sysevalf(&_maxrows*&_maxrowweights))
%do i=1 %to %sysevalf(&_maxrows);
&_maxrowweights
%end;)
%end;
%else %do;
rows=%superq(_rows&z)
rowweights=(%sysevalf(1-((%superq(_rows&z)-1)*%superq(riskrowweights&z)))
%do i = 2 %to %superq(_rows&z);
%superq(riskrowweights&z)
%end;)
%end;
rowgutter=0
%end;
%else %do; rows=1 %end;;
rowheaders;
layout gridded / columns=%sysfunc(countw(%superq(ylabel&z),`)) rows=1;
%do k = 1 %to %sysfunc(countw(%superq(ylabel&z),`));
entry halign=right "%scan(%superq(ylabel&z),&k,`)" / rotate=90 valign=center
textattrs=(color=&fontcolor size=%superq(lsize&z) weight=%superq(lweight&z) family="%superq(lfamily&z)");
%end;
endlayout;
%if %sysevalf(%superq(risklist&z)^=,boolean) and %sysevalf(%qupcase(%superq(risklocation&z))=BOTTOM,boolean) %then
%do k = 1 %to %sysfunc(countw(%superq(pardisplay&z),%str( )));
%if (%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) and %sysevalf(%superq(parheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) and %sysevalf(%superq(ncensheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) and %sysevalf(%superq(neventsheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) and
(%sysevalf(%superq(parheader&z)^=,boolean) and %sysevalf(%superq(ncensheader&z)^=,boolean))) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) and
(%sysevalf(%superq(parheader&z)^=,boolean) and %sysevalf(%superq(neventsheader&z)^=,boolean))) %then %do;
%if %sysevalf(%qupcase(%superq(paralign&z))=LABELS,boolean) %then %do;
layout gridded;
entry ' ' / textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
drawtext textattrs=(color=&fontcolor weight=%superq(parweight&z) size=%superq(parsize&z) family="%superq(parfamily&z)")
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
"%superq(parheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
"%superq(ncensheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
"%superq(neventsheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
"%superq(parheader&z) (%superq(ncensheader&z))"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
"%superq(parheader&z) (%superq(neventsheader&z))"
%end; /
drawspace=layoutpercent y=50 x=0 anchor=left justify=left width=10000;
endlayout;
%end;
%else %do;
entry ' ' / textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%end;
%local adj;
%do adj=(&&plot_unadjust&z=0) %to %sysevalf(%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT);
%if &adj=1 and &&plot_unadjust&z=1 %then %let sfx=%str( (Adjusted));
%else %let sfx=;
%do i = 1 %to %superq(nclass_&z);
%if %sysevalf(%qupcase(%superq(risklabellocation&z))^=LEFT,boolean) %then %do;
%if %sysevalf(%qupcase(%superq(risklabellocation&z))=ABOVE,boolean) %then %do;
entry ' ' / textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
entry ' ' / textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%else %do;
entry halign=right "%qtrim(%superq(class_&z._&i))&sfx.%superq(risklabeldlm&z)"
/ textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(riskcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(riskcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &i)
%end;) valign=center;
%end;
%end;
%end;
%end;
endrowheaders;
/**Sets up axes for the Kaplan-Meier Curves**/
layout overlay /
%if &showwalls=1 %then %do;
walldisplay=(outline)
%end;
%else %do;
walldisplay=none
%end;
/**Y-Axis**/
yaxisopts=(
display=(line ticks tickvalues )
%if &&gridlines&z=1 and (%sysevalf(%qupcase(&&gridline_axis&z)=Y,boolean) or %sysevalf(%qupcase(&&gridline_axis&z)=BOTH,boolean)) %then %do;
griddisplay=on gridattrs=(thickness=&&gridline_size&z color=&&gridline_color&z pattern=&&gridline_pattern&z)
%end;
LABELSPLITCHAR='`' LABELFITPOLICY=SPLITALWAYS
label="&&ylabel&z" labelattrs=(color=&fontcolor size=%superq(lsize&z) weight=%superq(lweight&z) family="%superq(lfamily&z)")
type=linear tickvalueattrs=(color=&fontcolor size=%superq(ytickvalsize&z) weight=%superq(ytickvalweight&z) family="%superq(ytickvalfamily&z)")
/**Offset creates space at the top or bottom of the window that the plot cannot use, proportion from 0 to 1**/
%if %sysevalf(%superq(ymaxoffset&z)^=,boolean) %then %do; offsetmax=%superq(ymaxoffset&z)%end;
%if %sysevalf(%superq(yminoffset&z)^=,boolean) %then %do; offsetmin=%superq(yminoffset&z) %end;
linearopts=(tickvaluesequence=(start=%superq(ymin&z) end=%superq(ymax&z) increment=%superq(yincrement&z))
/**VIEWMAX and VIEWMIN are also required to show the desired range**/
viewmin=%superq(ymin&z) viewmax=%superq(ymax&z)))
/**X-Axis**/
xaxisopts=(display=(line ticks tickvalues label) label="&&xlabel&z"
LABELSPLITCHAR='`' LABELFITPOLICY=SPLITALWAYS
%if &&gridlines&z=1 and (%sysevalf(%qupcase(&&gridline_axis&z)=X,boolean) or %sysevalf(%qupcase(&&gridline_axis&z)=BOTH,boolean)) %then %do;
griddisplay=on gridattrs=(thickness=&&gridline_size&z color=&&gridline_color&z pattern=&&gridline_pattern&z)
%end;
type=linear labelattrs=(color=&fontcolor size=%superq(lsize&z) weight=%superq(lweight&z) family="%superq(lfamily&z)")
tickvalueattrs=(color=&fontcolor size=%superq(xtickvalsize&z) weight=%superq(xtickvalweight&z) family="%superq(xtickvalfamily&z)")
/**Offset creates space at the top or bottom of the window that the plot cannot use, proportion from 0 to 1**/
%if %sysevalf(%superq(xmaxoffset&z)^=,boolean) %then %do; offsetmax=%superq(xmaxoffset&z)%end;
%if %sysevalf(%superq(xminoffset&z)^=,boolean) %then %do; offsetmin=%superq(xminoffset&z)%end;
%else %if %sysevalf(%superq(risklist&z)=,boolean) or %sysevalf(%qupcase(&&risklocation&z)=BOTTOM,boolean) %then %do; offsetmin=0 %end;
/**TICKVALUESEQUENCE automatically calculates tick marks**/
linearopts=(tickvaluesequence=(start=%superq(xmin&z) end=%superq(xmax&z) increment=%superq(xincrement&z))
/**VIEWMAX and VIEWMIN are also required to show the desired range**/
viewmin=%superq(xmin&z) viewmax=%superq(xmax&z)));
/**Confidence Bounds if flagged**/
%if %superq(plotci&z) = 1 or
(%superq(plotci&z)=2 and %sysevalf(%superq(class&z)=,boolean)) %then %do;
%if &&plot_unadjust&z=1 %then %do;
bandplot x=t_&z limitlower=eval(%superq(xmult_&z) *lcl_&z)
limitupper=eval(%superq(xmult_&z) *ucl_&z) / type=step group=_ua_ci_&z
display=(%if %sysevalf(%superq(plotcifill&z)=1,boolean) %then %do;
fill
%end;
%else %do;
outline
%end;);
%end;
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
bandplot x=t_adj_&z limitlower=eval(%superq(xmult_&z) *lcl_adj_&z)
limitupper=eval(%superq(xmult_&z) *ucl_adj_&z) / type=step group=_ua_ci_&z
display=(%if %sysevalf(%superq(plotcifill&z)=1,boolean) %then %do;
fill
%end;
%else %do;
outline
%end;);
%end;
%end;
%if %superq(censormarkers&z) ^= 0 %then %do;
/**Draws censor symbols*/
/**xmult_&z is a factor based on YTYPE (PPT vs PCT)**/
%if &&plot_unadjust&z=1 %then %do;
if (max(c_&z)>.)
scatterplot x=t_&z y=eval(%superq(xmult_&z) * c_&z) /
group=_ua_&z;
endif;
%end;
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
if (max(c_&z)>.)
scatterplot x=t_adj_&z y=eval(%superq(xmult_&z) * c_adj_&z) /
group=_a_&z;
endif;
%end;
%end;
/**Generates the Kaplan-Meier Curves**/
/**Legend labels are added manually with ENTRY statements later**/
%if &&plot_unadjust&z=1 %then %do;
stepplot x=t_&z y=eval(%superq(xmult_&z) * s_&z) / legendlabel=' ' group=_ua_&z;
%end;
%if %qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT %then %do;
stepplot x=t_adj_&z y=eval(%superq(xmult_&z) * s_adj_&z) / legendlabel=' ' group=_a_&z;
%end;;
/**Draw X axis Reference Lines**/
%if (%sysevalf(%qupcase(%superq(reflines&z))=TIMEPOINTS,boolean) and %sysevalf(%superq(timelist&z)^=,boolean)) or
%sysevalf(%qupcase(%superq(reflines&z))=MEDIANS,boolean) %then %do;
/**Full lines**/
%if %sysevalf(%qupcase(%superq(reflinemethod&z))=FULL,boolean) %then %do;
%if %sysevalf(%qupcase(%superq(reflineaxis&z))=X,boolean) or
%sysevalf(%qupcase(%superq(reflineaxis&z))=BOTH,boolean) %then %do;
referenceline x=ref_t_&z /
lineattrs=(thickness=%superq(reflinesize&z) color=%superq(reflinecolor&z) pattern=%superq(reflinepattern&z));
%end;
%if %sysevalf(%qupcase(%superq(reflineaxis&z))=Y,boolean) or
%sysevalf(%qupcase(%superq(reflineaxis&z))=BOTH,boolean) %then %do;
referenceline y=ref_y_&z /
lineattrs=(thickness=%superq(reflinesize&z) color=%superq(reflinecolor&z) pattern=%superq(reflinepattern&z));
%end;
%end;
/**Drop lines**/
%else %if %sysevalf(%qupcase(%superq(reflinemethod&z))=DROP,boolean) %then %do;
%if %sysevalf(%qupcase(%superq(reflineaxis&z))=X,boolean) or
%sysevalf(%qupcase(%superq(reflineaxis&z))=BOTH,boolean) %then %do;
dropline x=ref_t_&z y=ref_y_&z /
lineattrs=(thickness=%superq(reflinesize&z) color=%superq(reflinecolor&z) pattern=%superq(reflinepattern&z))
dropto=X;
%end;
%if %sysevalf(%qupcase(%superq(reflineaxis&z))=Y,boolean) or
%sysevalf(%qupcase(%superq(reflineaxis&z))=BOTH,boolean) %then %do;
dropline x=ref_t_&z y=ref_y_&z /
lineattrs=(thickness=%superq(reflinesize&z) color=%superq(reflinecolor&z) pattern=%superq(reflinepattern&z))
dropto=Y;
%end;
%end;
%end;/**End Reference Lines**/
/**Patients-at-Risk table when RISKLOCATION=INSIDE**/
%if %sysevalf(%superq(risklist&z)=,boolean)=0 and %qupcase(%superq(risklocation&z))=INSIDE %then %do k=1 %to %sysfunc(countw(%superq(pardisplay&z),%str( ))) %by 1;
innermargin / align=bottom;
/**Makes a header for the Patients-at-Risk table**/
%if (%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) and %sysevalf(%superq(parheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) and %sysevalf(%superq(ncensheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) and %sysevalf(%superq(neventsheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) and
(%sysevalf(%superq(parheader&z)^=,boolean) and %sysevalf(%superq(ncensheader&z)^=,boolean))) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) and
(%sysevalf(%superq(parheader&z)^=,boolean) and %sysevalf(%superq(neventsheader&z)^=,boolean))) %then %do;
blockplot x=eval(ifn(^missing(partitle_&z),%superq(xmin&z),.))
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
block=partitle_&z
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
block=ncenstitle_&z
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
block=neventstitle_&z
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
block=eval(strip(partitle_&z)||' ('||strip(ncenstitle_&z)||')')
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
block=eval(strip(partitle_&z)||' ('||strip(neventstitle_&z)||')')
%end;
/
%if %sysevalf(%qupcase(%superq(paralign&z))=LABELS,boolean) %then %do;
display=(label)
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
label="%superq(parheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
label="%superq(ncensheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
label="%superq(neventsheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
label="%superq(parheader&z) (%superq(ncensheader&z))"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
label="%superq(parheader&z) (%superq(neventsheader&z))"
%end;
labelattrs=(color=&fontcolor size=%superq(parsize&z) weight=%superq(parweight&z) family="%superq(parfamily&z)")
%end;
%else %do;
display=(values)
valuehalign=%superq(paralign&z)
%end;
valueattrs=(color=&fontcolor size=%superq(parsize&z) weight=%superq(parweight&z) family="%superq(parfamily&z)");
%end;
/**Makes one block plot per class level**/
%local adj sfx sfx2;
%do adj=(&&plot_unadjust&z=0) %to %sysevalf(%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT);
%if &adj=1 %then %do;
%let sfx=_adj;
%if &&plot_unadjust&z=1 %then %let sfx2=%str( (Adjusted));
%else %let sfx2=;
%end;
%else %do;
%let sfx=;
%let sfx2=;
%end;
%do i = 1 %to %superq(nclass_&z) %by 1;
%if %qupcase(%superq(risklabellocation&z))=ABOVE and
(%sysevalf(%superq(class&z)^=,boolean) or %sysevalf(%superq(classdesc&z)^=,boolean)) %then %do;
blockplot x=eval(ifn(t&sfx._&z>. and cl_&z="%qtrim(%superq(class_&z._&i))",%superq(xmin&z),.))
block=eval(catx('',cl_&z,"&sfx2.")) / display=(values)
valuehalign=%superq(risklabelalign&z)
valueattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)" weight=%superq(risklabelweight));
%end;
blockplot x=eval(ifn(time&i.&sfx._&z ge %superq(xmin&z),time&i.&sfx._&z,.))
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
block=atrisk&i.&sfx._&z
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
block=ncens&i.&sfx._&z
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
block=nevent&i.&sfx._&z
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
block=eval(strip(atrisk&i.&sfx._&z)||' ('||strip(ncens&i.&sfx._&z)||')')
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
block=eval(strip(atrisk&i.&sfx._&z)||' ('||strip(ncens&i.&sfx._&z)||')')
%end;
/repeatedvalues=TRUE
%if %qupcase(%superq(risklabellocation&z))=LEFT %then %do;
display=(values label)
label=
%if %sysevalf(%superq(class_&z._&i)^=,boolean) %then %do;
"%qtrim(%superq(class_&z._&i))&sfx2."
%end;
%else %do;
" "
%end;
labelattrs=(color=&fontcolor size=%superq(ptabsize&z) weight=%superq(risklabelweight&z) family="%superq(ptabfamily&z)")
%end;
%else %do;
display=(values)
%end;
valuehalign=start
valueattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(riskcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(riskcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &i)
%end;
%else %do;
color=&fontcolor
%end;);
%end;
%end;
endinnermargin;
/**Places a reference line at the minimum Y-axis value to separate the patients-at-risk table from the plot**/
%if %superq(riskdivider&z)=1 %then %do;
referenceline y=%superq(ymin&z) / lineattrs=(color=%superq(riskdivcolor) pattern=%superq(riskdivstyle&z));
%end;
%end;/**Ends Inner
/**Design the Statistics Summary Table**/
%if %superq(_ndisplay_class_&z) gt 0 or %superq(_ndisplay_model_&z)>0 %then %do;
/**Creates the outer gridded block with up to 2 rows**/
layout gridded /
rows=%sysevalf(%sysevalf(%superq(_ndisplay_class_&z)>0,boolean) + %sysevalf(%superq(_ndisplay_model_&z)>0,boolean)) columns=1 border=false
location=%superq(location&z) autoalign=(%superq(autoalign&z)) %if &&gridlines&z=1 and &transparent=0 %then %do; opaque=true %end; ;
/**Creates the class-level gridded block**/
%if %sysevalf(%superq(_ndisplay_class_&z)>0,boolean) %then %do;
layout gridded /
%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
rows=%sysevalf(%superq(nclass_&z)+1) /**One row per class level**/
%end;
%else %do;
rows=%sysevalf((1+&&plot_unadjust&z)*%superq(nclass_&z)+1) /**One row per class level**/
%end;
columns=%superq(_ndisplay_class_&z) /**Determined by number of statistics called in the DISPLAY parameter**/
border=false valign=top halign=center;
/**Creates the headers for the class-level gridded block**/
%local pclass_check;
%do i = 1 %to %superq(_ndisplay_class_&z);
%let pclass_check=0;
%if %superq(_display_class&i._&z)=LEGEND %then %do;
/**Legend**/
layout gridded / columns=1 rows=%sysfunc(countw(%superq(legendheader&z),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(legendheader&z),`,m));
entry halign=center "%scan(%superq(legendheader&z),&k,`,m)" /
valign=bottom textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
/**Class Levels**/
%if %sysevalf("%superq(classdesc&z)"^="",boolean) and %sysevalf(%superq(class&z)^=,boolean) %then %do;
layout gridded / columns=1 rows=%sysfunc(countw(%superq(classdesc&z),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(classdesc&z),`,m));
entry halign=center "%scan(%superq(classdesc&z),&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%end;
%else %if %sysevalf(%superq(class&z)^=,boolean) %then %do;
layout gridded / columns=1 rows=%sysfunc(countw(%superq(label&z),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(label&z),`,m));
entry halign=center "%scan(%superq(label&z),&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%end;
%else %do;
entry halign=center " " / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%let i = %sysevalf(&i+1);
%let pclass_check=1;
%end;/**End Legend**/
%if %superq(pclass_check)=0 %then %do j=1 %to %sysfunc(countw(&classcolumns,|));
/**Total|Events|Medians**/
%if %superq(_display_class&i._&z)=%scan(&classcolumns,&j,|) %then %do;
%local header;
%let header=%superq(%sysfunc(compress(%superq(_display_class&i._&z)header))&z);
layout gridded / columns=1 rows=%sysfunc(countw(%superq(header),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(header),`,m));
entry halign=center "%scan(&header,&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%let pclass_check=1;
%end;
%end;/**Ends Total/Events/Medians**/
%if %superq(pclass_check)=0 and %sysevalf(%superq(class&z)^=,boolean) %then %do j=1 %to %sysfunc(countw(&hrcolumns,|));
/**Hazard Ratios**/
%if %superq(_display_class&i._&z)=%scan(&hrcolumns,&j,|) %then %do;
%local header;
%let header=%superq(%sysfunc(compress(%superq(_display_class&i._&z)header))&z);
layout gridded / columns=1 rows=%sysfunc(countw(%superq(header),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(header),`,m));
entry halign=center "%scan(&header,&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%let pclass_check=1;
%end;
%end;/**Ends Hazard Ratios**/
%if %superq(pclass_check)=0 and %superq(_display_class&i._&z)=TIMELIST %then %do;
/**Survival Time-point Estimates**/
%if %sysevalf(%superq(listtimepoints&z)=1,boolean) %then %do;
layout gridded / columns=1 rows=%sysfunc(countw(%superq(timelistheader&z),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(timelistheader&z),`,m));
entry halign=center "%scan(&&timelistheader&z,&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%end;
layout gridded / columns=1 rows=%sysfunc(countw(%superq(kmestheader&z),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(kmestheader&z),`,m));
%if %sysevalf(%superq(kmestheader&z)=%str(KM Est %(95%% CI%)),boolean) and
%sysevalf(%qupcase(%superq(method&z))=CIF,boolean) %then %let kmestheader&z=CIF Est (95% CI);
%else %if %sysevalf(%superq(kmestheader&z)=%str(KM Est %(95%% CI%)),boolean) and
%sysevalf(%qupcase(%superq(sreverse&z))=1,boolean) %then %let kmestheader&z=1-KM Est (95% CI);
entry halign=center "%scan(&&kmestheader&z,&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%let i = %sysevalf(&i+%superq(listtimepoints&z));
%let pclass_check=1;
%if %qupcase(%superq(risklocation&z))= TIMELIST and %sysevalf(%superq(risklist&z)^=,boolean) %then %do;
/**Patients-at-Risk Table**/
layout gridded / columns=1 rows=%sysfunc(countw(%superq(risktableheader&z),`,m)) border=false
halign=center valign=bottom;
%do k=1 %to %sysfunc(countw(%superq(risktableheader&z),`,m));
entry halign=center "%scan(&&risktableheader&z,&k,`,m)" / valign=bottom
textattrs=(color=&fontcolor weight=bold size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
endlayout;
%let i = %sysevalf(&i+1);
%end;
%end;
%end;
/**Creates the values for the class-level gridded block**/
%local c adj sfx sfx2;
%if %sysevalf(%superq(ntl_&z)=,boolean) %then %let ntl_&z = 1;
%do adj = (&&plot_unadjust&z=0) %to (%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT);
%if &adj=1 %then %do;
%let sfx=mv;
%if &&plot_unadjust&z=1 %then %let sfx2=%str( (Adjusted));
%else %let sfx2=;
%end;
%else %do;
%let sfx=;
%let sfx2=;
%end;
%do c = 1 %to %superq(nclass_&z);
%local pclass_check;
%do i = 1 %to %superq(_ndisplay_class_&z);
%let pclass_check=0;
%if %superq(_display_class&i._&z)=LEGEND %then %do;
/**Legend**/
/**Each DISCRETELEGEND statement only contains one class level of the plot**/
discretelegend "plot&c.&sfx._&z" / opaque=false
%if %sysevalf(%superq(legendlinelength&z)^=,boolean) %then %do;
itemsize=(linelength=%superq(legendlinelength&z))
%end;
across=1 down=1 border=false valign=top halign=center displayclipped=true
valueattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(statcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(statcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &c)
%end;
%else %do;
color=&fontcolor
%end;);
/**Class Levels**/
entry halign=%superq(classvalalign&z) "%trim(%superq(class_&z._&c))&sfx2" / valign=top
textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(statcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(statcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &c)
%end;
%else %do;
color=&fontcolor
%end;);
%let i = %sysevalf(&i+1);
%let pclass_check=1;
%end;
%if %superq(pclass_check)=0 %then %do j=1 %to %sysfunc(countw(&classcolumns,|));
/**Total|Events|Medians**/
%if %superq(_display_class&i._&z)=%scan(&classcolumns,&j,|) %then %do;
entry halign=center "%scan(%superq(%scan(&classcolumns,&j,|)&sfx.&z),&c,|)" / valign=top
textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(statcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(statcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &c)
%end;
%else %do;
color=&fontcolor
%end;);
%let pclass_check=1;
%end;
%end;
%if %superq(pclass_check)=0 and %sysevalf(%superq(class&z)^=,boolean) %then %do j=1 %to %sysfunc(countw(&hrcolumns,|));
/**Hazard Ratios**/
%if %superq(_display_class&i._&z)=%scan(&hrcolumns,&j,|) %then %do;
entry halign=center "%scan(%superq(%scan(&hrcolumns,&j,|)&sfx.&z),&c,|)" / valign=top
textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(statcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(statcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &c)
%end;
%else %do;
color=&fontcolor
%end;);
%let pclass_check=1;
%end;
%end;
%if %superq(pclass_check)=0 and %superq(_display_class&i._&z)=TIMELIST %then %do;
/**Survival Time-point Estimates**/
%if %sysevalf(%superq(listtimepoints&z)=1,boolean) %then %do;
/*Time-point labels*/
layout gridded / columns=1 rows=%superq(ntl_&z) border=false opaque=false;
%do k = 1 %to %superq(ntl_&z);
entry halign=center "%scan(%superq(timelist&sfx.v&z),&k,|)" / valign=top
textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(statcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(statcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &c)
%end;);
%end;
endlayout;
%end;
/*Survival Estimates*/
layout gridded / columns=1 rows=%superq(ntl_&z) border=false opaque=false;
%do k = 1 %to %superq(ntl_&z);
entry halign=center "%scan(%superq(timelist&sfx._&k._&z),&c,|)" / valign=top
textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(statcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(statcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &c)
%end;
%else %do;
color=&fontcolor
%end;);
%end;
endlayout;
%let i = %sysevalf(&i+%superq(listtimepoints&z));
%let pclass_check=1;
%end;/**Ends Time-point estimate Section**/
%end;/**Ends column filling loop for class-level gridded block***/
%end;/**Ends row filling loop for class-level gridded block**/
%end; /**End adjusting method potential block**/
endlayout;/**Ends class-level gridded block**/
%end;/**Ends the class-level gridded block**/
/**Creates model-level gridded block**/
%if %superq(_ndisplay_model_&z)>0 %then %do;
layout gridded / rows=1 columns=%superq(_ndisplay_model_&z) opaque=false
border=false valign=top halign=right;
%do i = 1 %to %superq(_ndisplay_model_&z);
/**Uses the plot that was colored white earlier to create the correct amount of space on the left**/
%if %superq(_display_model&i._&z)=LEGEND %then %do;
discretelegend "spacer" / opaque=false
%if %sysevalf(%superq(legendlinelength&z)^=,boolean) %then %do;
itemsize=(linelength=%superq(legendlinelength&z))
%end;
across=1 down=1 border=false valign=top halign=left displayclipped=true
valueattrs=(color=&fontcolor size=1pt family="%superq(ptabfamily&z)");
%end;
%if %superq(_display_model&i._&z)=STATS and %sysevalf(%superq(_ndisplay_mstats_&z)>0,boolean) %then %do;
/**Print text for P-values and user entered Table Comments**/
layout gridded / columns=1
%if %qupcase(&&method&z)=KM or %qupcase(&&method&z)=CIF %then %do;
rows=%superq(_ndisplay_mstats_&z)
%end;
%else %do;
rows=%sysevalf((1+&&plot_unadjust&z)*%superq(_ndisplay_mstats_&z)) /**One row per class level**/
%end;
valign=top halign=left
opaque=false border=false;
%local c adj sfx sfx2;
%if %sysevalf(%superq(ntl_&z)=,boolean) %then %let ntl_&z = 1;
%do adj = (&&plot_unadjust&z=0) %to (%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT);
%if &adj=1 %then %do;
%let sfx=mv;
%if &&plot_unadjust&z=1 %then %let sfx2=%str(Adjusted );
%else %let sfx2=;
%end;
%else %do;
%let sfx=;
%let sfx2=;
%end;
%do k = 1 %to %superq(_ndisplay_mstats_&z);
%if %superq(_display_mstats&k._&z)=PVAL %then %do;
/**P-value**/
%if %qupcase(%superq(plotpval&z))=LR %then %let plotpval&z=Likelihood-Ratio;
%if %qupcase(%superq(plotpvalmv&z))=LR %then %let plotpvalmv&z=Likelihood-Ratio;
%if %qupcase(%superq(plotpval&z))=GRAY %then %let plotpval&z=Gray K-Sample Test;
entry halign=left
%if %sysevalf(%superq(pval&sfx.header&z)=,boolean)=0 %then %do;
"%unquote(&&pval&sfx.header&z) %sysfunc(strip(&&pval&sfx.&z))"
%end;
%else %if %sysevalf(%superq(strata&z)^=,boolean) %then %do;
"Stratified %sysfunc(propcase(%superq(plotpval&sfx.&z))) P-value: %sysfunc(strip(%superq(pval&sfx.&z)))"
%end;
%else %do;
"&sfx2.%sysfunc(propcase(%superq(plotpval&sfx.&z))) P-value: %sysfunc(strip(%superq(pval&sfx.&z)))"
%end; / valign=top textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%if %superq(_display_mstats&k._&z)=PVALMV %then %do;
/**P-value**/
%if %qupcase(%superq(plotpvalmv&z))=LR %then %let plotpvalmv&z=Likelihood-Ratio;
entry halign=left
%if %sysevalf(&&pvalmvheader&z=,boolean)=0 %then %do;
"&&pvalmvheader&z %sysfunc(strip(%superq(pvalmv&z)))"
%end;
%else %do;
"Adjusted %sysfunc(propcase(%superq(plotpvalmv&z))) P-value: %sysfunc(strip(%superq(pvalmv&z)))"
%end; / valign=top textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%if %superq(_display_mstats&k._&z)=CINDEX %then %do;
/**Univariate c-index**/
entry halign=left
%if %sysevalf(&&cindexheader&z=,boolean)=0 %then %do;
"&&cindexheader&z %sysfunc(strip(%superq(cindex&z)))"
%end;
%else %do;
"C-index (%sysevalf(100-100*&&alpha&z)% CI): %sysfunc(strip(%superq(cindex&z)))"
%end; / valign=top textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%if %superq(_display_mstats&k._&z)=CINDEXMV %then %do;
/**Multivariate c-index**/
entry halign=left
%if %sysevalf(&&cindexmvheader&z=,boolean)=0 %then %do;
"&&cindexmvheader&z %sysfunc(strip(%superq(cindexmv&z)))"
%end;
%else %do;
"Multivariate C-index (%sysevalf(100-100*&&alpha&z)% CI): %sysfunc(strip(%superq(cindexmv&z)))"
%end; / valign=top textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%if %superq(_display_mstats&k._&z)=TABLECOMMENTS %then %do;
/**User-provided Table Comments**/
%do j=1 %to %sysfunc(countw(%superq(tablecomments&z),`,m));
entry halign=left "%scan(&&tablecomments&z,&j,`,m)" / valign=top border=false
textattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%let k=%sysevalf(&k+%sysfunc(countw(%superq(tablecomments&z),`,m))-1);
%end;
%end;
%end;
endlayout;
%end;
%if %superq(_display_model&i._&z)=CENSORS %then %do;
/**Create legend statement for censor values**/
discretelegend "cens&z"
/ border=false halign=right valign=top displayclipped=true opaque=false autoitemsize=TRUE
valueattrs=(color=&fontcolor size=%superq(ptabsize&z) family="%superq(ptabfamily&z)");
%end;
%end;
endlayout;/**Ends model-level gridded block**/
%end;/**Ends model-level gridded block**/
endlayout;/**Ends the outer gridded block**/
%end;
endlayout;/**Closes the LAYOUT OVERLAY**/
/**Creates the patients-at-risk block**/
/**Makes one block plot per class level**/
%if %sysevalf(%superq(risklist&z)=,boolean)=0 and %qupcase(%superq(risklocation&z))=BOTTOM %then %do k=1 %to %sysfunc(countw(%superq(pardisplay&z),%str( )));
/**Makes a header for the Patients-at-Risk table**/
%if (%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) and %sysevalf(%superq(parheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) and %sysevalf(%superq(ncensheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) and %sysevalf(%superq(neventsheader&z)^=,boolean)) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) and
(%sysevalf(%superq(parheader&z)^=,boolean) and %sysevalf(%superq(ncensheader&z)^=,boolean))) or
(%sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) and
(%sysevalf(%superq(parheader&z)^=,boolean) and %sysevalf(%superq(neventsheader&z)^=,boolean))) %then %do;
layout overlay / border=false walldisplay=none
xaxisopts=(display=none type=linear
/**Offset creates space at the top or bottom of the window that the plot cannot use, proportion from 0 to 1**/
%if %sysevalf(%superq(xmaxoffset&z)^=,boolean) %then %do; offsetmax=%superq(xmaxoffset&z)%end;
%if %sysevalf(%superq(xminoffset&z)^=,boolean) %then %do; offsetmin=%superq(xminoffset&z)%end;
%else %if %sysevalf(%superq(risklist&z)=,boolean) or %sysevalf(%qupcase(&&risklocation&z)=BOTTOM,boolean) %then %do; offsetmin=0 %end;
/**VIEWMAX and VIEWMIN are also required to show the desired range**/
linearopts=(viewmin=%superq(xmin&z) viewmax=%superq(xmax&z)));
blockplot x=eval(ifn(^missing(partitle_&z),%superq(xmin&z),.))
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(partitle_&z )),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(ncenstitle_&z )),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(neventstitle_&z )),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(strip(partitle_&z)||' ('||strip(ncenstitle_&z)||')')),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(strip(partitle_&z)||' ('||strip(neventstitle_&z)||')')),'a','A0'x))
%end;
/
%if %sysevalf(%qupcase(%superq(paralign&z))=LABELS,boolean) %then %do;
display=(values)
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
label="%superq(parheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
label="%superq(ncensheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
label="%superq(neventsheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
label="%superq(parheader&z) (%superq(ncensheader&z))"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
label="%superq(parheader&z) (%superq(neventsheader&z))"
%end;
labelattrs=(color=&fontcolor size=%superq(parsize&z) weight=%superq(parweight&z) family="%superq(parfamily&z)")
%end;
%else %do;
display=(values)
valuehalign=%superq(paralign&z)
%end;
valueattrs=(size=%superq(parsize&z) color=&background weight=%superq(parweight&z) family="%superq(parfamily&z)");
%if %sysevalf(%qupcase(%superq(paralign&z))^=LABELS,boolean) %then %do;
/*Draws Labels*/
drawtext textattrs=(size=%superq(parsize&z) weight=%superq(parweight&z) family="%superq(parfamily&z)" color=&fontcolor)
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
"%superq(parheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
"%superq(ncensheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
"%superq(neventsheader&z)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
"%superq(parheader&z) (%superq(ncensheader&z))"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
"%superq(parheader&z) (%superq(neventsheader&z))"
%end;/
y=50
%if %sysevalf(%qupcase(%superq(paralign&z))=LEFT,boolean) %then %do;
x=0 anchor=left justify=left
%end;
%else %if %sysevalf(%qupcase(%superq(paralign&z))=RIGHT,boolean) %then %do;
x=100 anchor=right justify=right
%end;
%else %if %sysevalf(%qupcase(%superq(paralign&z))=CENTER,boolean) %then %do;
x=50 anchor=center justify=center
%end; xspace=wallpercent yspace=layoutpercent width=10000 ;
%end;
endlayout;
%end;
%local adj;
%do adj=(&&plot_unadjust&z=0) %to %sysevalf((%qupcase(&&method&z)=INVWTS or %qupcase(&&method&z)=DIRECT));
%local sfx sfx2;
%if &adj=0 %then %do;
%let sfx=;%let sfx2=;
%end;
%else %do;
%let sfx=_adj;
%if &&plot_unadjust&z=1 %then %let sfx2=%str( (Adjusted));
%else %let sfx2=;
%end;
%do i = 1 %to %superq(nclass_&z);
%if %qupcase(%superq(risklabellocation&z))=ABOVE and
(%sysevalf(%superq(class&z)^=,boolean) or %sysevalf(%superq(classdesc&z)^=,boolean)) %then %do;
layout overlay / border=false walldisplay=none
yaxisopts=(display=none)
xaxisopts=(display=none type=linear
/**Offset creates space at the top or bottom of the window that the plot cannot use, proportion from 0 to 1**/
%if %sysevalf(%superq(xmaxoffset&z)^=,boolean) %then %do; offsetmax=%superq(xmaxoffset&z)%end;
%if %sysevalf(%superq(xminoffset&z)^=,boolean) %then %do; offsetmin=%superq(xminoffset&z)%end;
%else %if %sysevalf(%superq(risklist&z)=,boolean) or %sysevalf(%qupcase(&&risklocation&z)=BOTTOM,boolean) %then %do; offsetmin=0 %end;
/**VIEWMAX and VIEWMIN are also required to show the desired range**/
linearopts=(viewmin=%superq(xmin&z) viewmax=%superq(xmax&z)));
scatterplot x=eval(t_&z*0) y=eval(t_&z*0) / markerattrs=(size=0pt);
/*Draws Labels*/
drawtext textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(riskcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(riskcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &i)
%end;
%else %do;
color=&fontcolor
%end;) "%qtrim(%superq(class_&z._&i))&sfx2." /
y=50
%if %sysevalf(%qupcase(%superq(risklabelalign&z))=LEFT,boolean) %then %do;
x=0 anchor=left justify=left
%end;
%else %if %sysevalf(%qupcase(%superq(risklabelalign&z))=RIGHT,boolean) %then %do;
x=100 anchor=right justify=right
%end;
%else %if %sysevalf(%qupcase(%superq(risklabelalign&z))=CENTER,boolean) %then %do;
x=50 anchor=center justify=center
%end; xspace=datapercent yspace=layoutpercent width=10000 ;
endlayout;
%end;
layout overlay / border=false walldisplay=none
yaxisopts=(display=none)
xaxisopts=(display=none type=linear
/**Offset creates space at the top or bottom of the window that the plot cannot use, proportion from 0 to 1**/
%if %sysevalf(%superq(xmaxoffset&z)^=,boolean) %then %do; offsetmax=%superq(xmaxoffset&z)%end;
%if %sysevalf(%superq(xminoffset&z)^=,boolean) %then %do; offsetmin=%superq(xminoffset&z)%end;
%else %if %sysevalf(%superq(risklist&z)=,boolean) or %sysevalf(%qupcase(&&risklocation&z)=BOTTOM,boolean) %then %do; offsetmin=0 %end;
/**VIEWMAX and VIEWMIN are also required to show the desired range**/
linearopts=(tickvaluesequence=(start=%superq(xmin&z) end=%superq(xmax&z) increment=%superq(xincrement&z)) viewmin=%superq(xmin&z) viewmax=%superq(xmax&z)));
blockplot x=eval(ifn(time&i.&sfx._&z ge %superq(xmin&z),time&i.&sfx._&z,.))
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(atrisk&i.&sfx._&z)),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(ncens&i.&sfx._&z)),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(nevent&i.&sfx._&z)),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(strip(atrisk&i.&sfx._&z)||' ('||strip(ncens&i.&sfx._&z)||')')),'a','A0'x))
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
block=eval(tranwrd(repeat('a',length(strip(atrisk&i.&sfx._&z)||' ('||strip(ncens&i.&sfx._&z)||')')),'a','A0'x))
%end;
/repeatedvalues=TRUE display=(values )
valuehalign=start
valueattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)" color=&background)
label="%trim(%superq(class_&z._&i))" labelattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)" color=&fontcolor);
/*Draws patients at risk*/
%if %sysevalf(%superq(risklist_v_&i.&sfx._&z)^=,boolean) %then %do j = 1 %to %sysfunc(countw(%superq(risklist_v_&i.&sfx._&z),|,m));
drawtext textattrs=(size=%superq(ptabsize&z) family="%superq(ptabfamily&z)"
%if %superq(riskcolor&z)=1 and %sysfunc(countw(%superq(color&z))) = 1 %then %do;
color=%superq(color&z)
%end;
%else %if %superq(riskcolor&z)=1 %then %do;
color=%scan(%superq(color&z), &i)
%end;
%else %do;
color=&fontcolor
%end;)
%if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR,boolean) %then %do;
"%scan(%superq(risklist_v_&i.&sfx._&z),&j,|,m)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NCENS,boolean) %then %do;
"%scan(%superq(risklist_c_&i.&sfx._&z),&j,|,m)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=NEVENTS,boolean) %then %do;
"%scan(%superq(risklist_e_&i.&sfx._&z),&j,|,m)"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NCENS,boolean) %then %do;
"%scan(%superq(risklist_v_&i.&sfx._&z),&j,|,m) (%scan(%superq(risklist_c_&i.&sfx._&z),&j,|,m))"
%end;
%else %if %sysevalf(%qupcase(%scan(%superq(pardisplay&z),&k,%str( )))=PAR_NEVENTS,boolean) %then %do;
"%scan(%superq(risklist_v_&i.&sfx._&z),&j,|,m) (%scan(%superq(risklist_e_&i.&sfx._&z),&j,|,m))"
%end;
/
x=%scan(%superq(risklist_t_&i.&sfx._&z),&j,|,m) y=50 xspace=datavalue yspace=layoutpercent width=10000 justify=center anchor=center;
%end;
endlayout;
%end;
%end;
%end;
endlayout;/**Ends inner lattice block**/
endlayout;
%end;/**Ends Model-by-model loop**/
endlayout;/**Ends outer lattice block**/
endgraph;
end;
run;
/**Turn Results and ODS back on**/
ods select all;
ods results;
/**Creates document to save**/
%if %sysevalf(%superq(outdoc)=,boolean)=0 %then %do;
ods escapechar='^';
/**Sets up DPI and ODS generated file**/
ods &destination
%if %qupcase(&destination)=RTF %then %do;
file="&outdoc"
image_dpi=&dpi startpage=NO
%end;
%else %if %qupcase(&destination)=HTML %then %do;
image_dpi=&dpi
%if %upcase(&sysscpl)=LINUX or %upcase(&sysscpl)=UNIX %then %do;
path="%substr(&outdoc,1,%sysfunc(find(&outdoc,/,-%sysfunc(length(&outdoc)))))"
file="%scan(&outdoc,1,/,b)"
%end;
%else %do;
path="%substr(&outdoc,1,%sysfunc(find(&outdoc,\,-%sysfunc(length(&outdoc)))))"
file="%scan(&outdoc,1,\,b)"
%end;
%if %sysevalf(%superq(gpath)=,boolean)=0 %then %do;
gpath="&gpath" (url=none)
%end;
%end;
%else %if %qupcase(&destination)=PDF %then %do;
dpi=&dpi startpage=NO bookmarkgen=off notoc
file="&outdoc"
%end;
%else %if %qupcase(&destination)=EXCEL %then %do;
file="&outdoc"
dpi=&dpi options(sheet_interval='none')
%end;
%else %if %qupcase(&destination)=POWERPOINT %then %do;
file="&outdoc"
dpi=&dpi
%end;;
%end;
%else %if &_listing=0 %then %do;
ods listing close image_dpi=&dpi;
%end;
%else %if &_listing=1 %then %do;
ods listing image_dpi=&dpi;
%end;
proc sql noprint;
%local _ppt _other _destinations _styles k pfoot_list;
select max(ifn(upcase(destination) ^in('LISTING' 'OUTPUT' 'POWERPOINT' 'RTF'),1,0)),
max(ifn(upcase(destination) in('POWERPOINT'),1,0)),
max(ifn(upcase(destination) in('RTF'),1,0))
into :_other separated by '',:_ppt separated by '',:_rtf separated by '' from sashelp.vdest;
select upcase(destination),upcase(style) into :_destinations separated by '|',:_styles separated by '|'
from sashelp.vdest
where upcase(destination)^in('OUTPUT');
quit;
/**Create plot if flagged**/
%if &plot = 1 %then %do;
/**Save image to specified location**/
%if %sysevalf(%superq(gpath)=,boolean)=0 %then %do;
ods listing gpath="&gpath";
%end;
/**Names and formats the image**/
%if %sysevalf(%superq(plottype)^=,boolean) %then %do;
%if %qupcase(&plottype)=EMF or (&svg=1 and %qupcase(&destination)=RTF and %qupcase(&plottype)^=TIFF and %qupcase(&plottype)^=TIF)
or (&svg=1 and %qupcase(&destination)=EXCEL)
or (&svg=1 and %qupcase(&destination)=POWERPOINT) %then %do;
%local _any_trans;
%let _any_trans=0;
%do i =1 %to &nmodels;
%if (%sysevalf(%superq(class&i)=,boolean) and %sysevalf(%superq(plotci&i)^=0,boolean) and %sysevalf(%superq(plotcifill&i)=1,boolean)) or
(%sysevalf(%superq(plotci&i)=1,boolean) and %sysevalf(%superq(plotcifill&i)=1,boolean)) %then %let _any_trans=1;
%end;
options printerpath='emf';
ods graphics / imagefmt=&plottype;
%if &transparent=0 and &_any_trans=0 %then %do;
/**Modifies temporary registry keys to create better EMF image in 9.4**/
/**Taken from SAS Technical Support Martin Mincey**/
%local workdir;
%let workdir=%trim(%sysfunc(pathname(work)));
/**Creates the new keys**/
data _null_;
%if %qupcase(&sysscp)=WIN %then %do;
file "&workdir.\_newsurv_emf94.sasxreg";
%end;
%else %do;
file "&workdir./_newsurv_emf94.sasxreg";
%end;
put '[CORE\PRINTING\PRINTERS\EMF\ADVANCED]';
put '"Description"="Enhanced Metafile Format"';
put '"Metafile Type"="EMF"';
put '"Vector Alpha"=int:0';
put '"Image 32"=int:1';
run;
%if %qupcase(&sysscp)=WIN %then %do;
proc registry export="&workdir.\_newsurv_preexisting.sasxreg";/* Exports current SASUSER Keys */
proc registry import="&workdir.\_newsurv_emf94.sasxreg"; /* Import the new keys */
run;
%end;
%else %do;
proc registry export="&workdir./_newsurv_preexisting.sasxreg";/* Exports current SASUSER Keys */
proc registry import="&workdir./_newsurv_emf94.sasxreg"; /* Import the new keys */
run;
%end;
%end;
%else %do;
ods graphics / imagefmt=&plottype;
%end;
%end;
%else %if %qupcase(&plottype)=TIFF or %qupcase(&plottype)=TIF %then %do;
ods graphics / imagefmt=png;
%end;
%else %do;
ods graphics / imagefmt=&plottype;
%end;
%end;
%if %sysevalf(%superq(plotname)^=,boolean) %then %do;
ods graphics / reset=index imagename="&plotname";
%end;
/**Turns on Scalable-Vector-Graphics**/
%if &svg = 1 %then %do;
%if %qupcase(&destination) = RTF or %qupcase(&destination) = EXCEL or %qupcase(&destination) = POWERPOINT %then %do;
ods graphics / OUTPUTFMT=EMF;
%end;
%else %if %qupcase(&destination) = HTML %then %do;
ods graphics / OUTPUTFMT=SVG;
%end;
%else %do;
ods graphics / OUTPUTFMT=STATIC;
%end;
%end;
%if %sysevalf(%qupcase(%superq(axiscolor))^=BLACK,boolean) %then %do;
proc template;
%do i = 1 %to %sysfunc(countw(%superq(_destinations),|));
define style styles.newsurv_axes&i;
parent=styles.%scan(%superq(_styles),&i,|);
class GraphAxisLines /
ContrastColor=&axiscolor
color=&axiscolor;
class GraphBorderLines /
contrastcolor=&axiscolor
color=&axiscolor;
class GraphWalls /
contrastcolor=&axiscolor
color=&axiscolor;
End;
%end;
run;
%do i = 1 %to %sysfunc(countw(%superq(_destinations),|));
ods %scan(%superq(_destinations),&i,|) style=newsurv_axes&i;
%end;
%end;
/**Sets plot options**/
ods graphics / antialias antialiasmax=&antialiasmax scale=off width=&width height=&height
%if &sysvlong >= 9.04.01M5P091317 %then %do; LINEPATTERNOBSMAX=10000000 %end;;
/**Generates the Plot**/
options notes;
proc sgrender data=_plot template=_km;
run;
options nonotes;
/**Changes Potential Registry Changes back**/
%if %qupcase(&plottype)=EMF or (&svg=1 and %qupcase(&destination)=RTF and %qupcase(&plottype)^=TIFF and %qupcase(&plottype)^=TIF)
or (&svg=1 and %qupcase(&destination)=EXCEL)
or (&svg=1 and %qupcase(&destination)=POWERPOINT) %then %do;
%if &transparent=0 and &_any_trans=0 %then %do;
proc registry clearsasuser; /* Deletes the SASUSER directory */
proc registry import="&workdir./_newsurv_preexisting.sasxreg";/* Imports starting SASUSER Keys */
run;
%end;
%end;
/**Creates the TIFF file from the PNG file created earlier**/
%else %if %qupcase(&plottype)=TIFF or %qupcase(&plottype)=TIF %then %do;
%local _fncheck _fncheck2;
options nonotes;
%if %sysevalf(%superq(gpath)=,boolean) %then %do;
filename nsurvpng "./&plotname..png";
filename nsurvtif "./&plotname..tiff";
data _null_;
x=fexist('nsurvpng');
x2=fdelete('nsurvtif');
call symput('_fncheck',strip(put(x,12.)));
call symput('_fncheck2',strip(put(x2,12.)));
run;
%if %sysevalf(%superq(_fncheck)^=1,boolean) %then %do;
filename nsurvpng "./&plotname.1.png";
%end;
%end;
%else %do;
filename nsurvpng "%sysfunc(tranwrd(&gpath./&plotname..png,//,/))";
filename nsurvtif "%sysfunc(tranwrd(&gpath./&plotname..tiff,//,/))";
data _null_;
x=fexist('nsurvpng');
x2=fdelete('nsurvtif');
call symput('_fncheck',strip(put(x,12.)));
call symput('_fncheck2',strip(put(x2,12.)));
run;
%if %sysevalf(%superq(_fncheck)^=1,boolean) %then %do;
filename nsurvpng "%sysfunc(tranwrd(&gpath./&plotname.1.png,//,/))";
%end;
%end;
options notes;
goptions device=&tiffdevice gsfname=nsurvtif
xmax=&width ymax=&height
xpixels=%sysevalf(%sysfunc(compress(&width,abcdefghijklmnopqrstuvwxyz,i))*&dpi)
ypixels=%sysevalf(%sysfunc(compress(&height,abcdefghijklmnopqrstuvwxyz,i))*&dpi)
imagestyle=fit iback=nsurvpng
%if &border=1 %then %do; border %end;
%else %if &border=0 %then %do; noborder %end;;
proc gslide;
run;
quit;
data _null_;
x=fdelete('nsurvpng');
run;
filename nsurvpng clear;
filename nsurvtif clear;
%end;
options nonotes;
%end;
/**Print out summary table**/
%if &summary=1 %then %do;
%local _multmethodcheck _multmethodlist;
%do i = 1 %to %sysfunc(countw(%superq(_destinations),|));
%if %sysevalf(%qupcase(%qscan(%superq(_destinations),&i,|))=EXCEL,boolean) %then %do;
ods excel options(sheet_name='NEWSURV' frozen_headers="2") style=_newsurvtable;
%end;
%else %do;
ods %scan(%superq(_destinations),&i,|) style=_newsurvtable;
%end;
%end;
/**Check p-values for footnote purposes**/
proc sql noprint;
%if &tablemergepval=1 %then %do;
update %if %sysevalf(%superq(out)=,boolean)=0 %then %do; &out %end;
%else %do; _summary %end;
set pval=strip(covpval)
where ^missing(covpval) and missing(pval);
update %if %sysevalf(%superq(out)=,boolean)=0 %then %do; &out %end;
%else %do; _summary %end;
set pvalmv=strip(covpvalmv)
where ^missing(covpvalmv) and missing(pvalmv);
%end;
select count(distinct modeltype) into :_multmethodcheck
from
%if %sysevalf(%superq(out)=,boolean)=0 %then %do; &out %end;
%else %do; _summary %end;;
select distinct modeltype into :_multmethodlist separated by '|'
from
%if %sysevalf(%superq(out)=,boolean)=0 %then %do; &out %end;
%else %do; _summary %end;;
/**Print Summary with PROC REPORT**/
/**Determine columns to be showin in report**/
/*Model Classifications*/
%local _tndisplay_model modelcolumns;
%let _tndisplay_model=0;
%let modelcolumns=TITLE|FOOTNOTE;
/*Statistics*/
%local _tndisplay_stat statcolumns _display_current _med_check _hr_check _tl_check _tlmv_check _pval_check _pvalmv_check _covpval_check _covpvalmv_check;
%let _pval_check=0;
%let _pvalmv_check=0;
%let _covpval_check=0;
%let _covpvalmv_check=0;
%let _tndisplay_stat=0;
%let statcolumns=TOTAL|EVENT|MEDIAN|TIMELIST|EV_N|N_EV|TOTALMV|EVENTMV|EV_NMV|N_EVMV|HR|MEDIANMV|TIMELISTMV|HRMV|PVAL|PVALMV|COVPVAL|COVPVALMV|CINDEX|CINDEXMV;
/*Statistics*/
/**Take only first entry if repeated entries are listed**/
%let _tabledisplay=%qupcase(%scan(&tabledisplay,1,%str( )));
%do i = 2 %to %sysfunc(countw(&tabledisplay,%str( )));
%let _display_current=%qupcase(%scan(%superq(tabledisplay),&i,%str( )));
%let _test=0;
%do j = 1 %to %sysevalf(&i-1);
%if &_display_current=%qupcase(%scan(%superq(_tabledisplay),&j,|)) %then %let _test=1;
%end;
%if ^&_test %then %let _tabledisplay=&_tabledisplay|&_display_current;
%end;
%do i = 1 %to %sysfunc(countw(&_tabledisplay,|));
%let _display_current=%qupcase(%scan(%superq(_tabledisplay),&i,|));
%let _test=0;
select ifn(count(*)>0,1,0) into :_test
from %if %sysevalf(%superq(out)=,boolean)=0 %then %do; &out %end;
%else %do; _summary %end;
where ^missing(&_display_current);
%if &_test=1 %then %do j = 1 %to %sysfunc(countw(&modelcolumns,|));
%if &_display_current=%scan(&modelcolumns,&j,|) %then %do;
%let _tndisplay_model=%sysevalf(&_tndisplay_model+1);
%let _tndisplay_model_&_tndisplay_model=&_display_current;
%end;
%end;
%if &_test=1 %then %do j = 1 %to %sysfunc(countw(&statcolumns,|));
%if &_display_current=%scan(&statcolumns,&j,|) %then %do;
%let _tndisplay_stat=%sysevalf(&_tndisplay_stat+1);
%let _tndisplay_stat_&_tndisplay_stat=&_display_current;
%if %sysevalf(%qupcase(&_display_current)=MEDIAN,boolean) %then %let _med_check=1;
%else %if %sysevalf(%qupcase(&_display_current)=TIMELIST,boolean) %then %let _tl_check=1;
%else %if %sysevalf(%qupcase(&_display_current)=PVAL,boolean) %then %let _pval_check=1;
%else %if %sysevalf(%qupcase(&_display_current)=COVPVAL,boolean) %then %let _covpval_check=1;
%else %if %sysevalf(%qupcase(&_display_current)=PVALMV,boolean) %then %let _pvalmv_check=1;
%else %if %sysevalf(%qupcase(&_display_current)=COVPVALMV,boolean) %then %let _covpvalmv_check=1;
%else %if %sysfunc(find(&_display_current,HR,i))>0 %then %let _hr_check=1;
%end;
%end;
%end;
quit;
data _report;
set %if %sysevalf(%superq(out)=,boolean)=0 %then %do; &out %end;
%else %do; _summary %end; end=last;
array hlist (4) $20. _temporary_;
array dlist (&_tndisplay_stat) $50. (%do i = 1 %to &_tndisplay_stat; %if &i>1 %then %do; , %end; "%qupcase(&&_tndisplay_stat_&i)" %end;);
retain dlist;
if _n_=1 then do;
do i = 1 to dim(dlist);
if dlist(i) in("TIMELIST","MEDIAN") then _univ_=1;
if dlist(i) in("TIMELISTMV","MEDIANMV") then _multiv_=1;
retain _univ_ _multiv_;
drop _univ_ _multiv_;
if dlist(i) in("TIMELIST","MEDIAN","TIMELISTMV","MEDIANMV") and &_multmethodcheck=1 then do j = 1 to dim(hlist);
if missing(hlist(j)) or hlist(j) =
ifc(&_multmethodlist=0,'KM',
ifc(&_multmethodlist=1,'1-KM',
ifc(&_multmethodlist=2,'CIF',
ifc(&_multmethodlist=3,'INVWTS',
ifc(&_multmethodlist=4,'DIRECT',''))))) then do;
hlist(j)=ifc(&_multmethodlist=0,'KM',
ifc(&_multmethodlist=1,'1-KM',
ifc(&_multmethodlist=2,'CIF',
ifc(&_multmethodlist=3,'INVWTS',
ifc(&_multmethodlist=4,'DIRECT','')))));
j=dim(hlist);
end;
end;
else if dlist(i) in("HR","HRMV") then do j = 1 to dim(hlist);
if missing(hlist(j)) or hlist(j) = 'Cox' then do;
hlist(j)='Cox';
j=dim(hlist);
end;
end;
end;
nfoot=0;
if cmiss(of hlist(*))<dim(hlist) then do i=1 to dim(hlist)-cmiss(of hlist(*));
nfoot+1;
if hlist(i)='KM' then call symputx('foot'||strip(put(nfoot,12.0)),"Kaplan-Meier method;",'l');
else if hlist(i)='1-KM' then call symputx('foot'||strip(put(nfoot,12.0)),"1-Kaplan-Meier method;",'l');
else if hlist(i)='CIF' then call symputx('foot'||strip(put(nfoot,12.0)),"Cumulative incidence method;",'l');
else if hlist(i)='INVWTS' then do;
if _univ_=1 then do;
call symputx('foot'||strip(put(nfoot,12.0)),"Kaplan-Meier method;",'l');
end;
if _multiv_=1 then do;
if _univ_=1 then nfoot+1;
call symputx('foot'||strip(put(nfoot,12.0)),"Inverse weights adjusting method;",'l');
end;
end;
else if hlist(i)='DIRECT' then do;
if _univ_=1 then do;
call symputx('foot'||strip(put(nfoot,12.0)),"Kaplan-Meier method;",'l');
end;
if _multiv_=1 then do;
if _univ_=1 then nfoot+1;
call symputx('foot'||strip(put(nfoot,12.0)),"Direct adjusting method;",'l');
end;
end;
else if hlist(i)='Cox' then call symputx('foot'||strip(put(nfoot,12.0)),"Cox model;",'l');
end;
end;
array plist (6) $20. _temporary_;
do i = 1 to dim(dlist);
if dlist(i) in('PVAL' 'PVALMV' 'COVPVAL' 'COVPVALMV') then do;
if ^missing(compress(vvaluex(dlist(i)),'- ')) then do j = 1 to dim(plist);
if missing(plist(j)) or compress(scan(vvaluex(dlist(i)),2,'^'),' {super}') = plist(j) then do;
if missing(plist(j)) then plist(j)=compress(scan(vvaluex(dlist(i)),2,'^'),' {super}');
if dlist(i)='PVAL' then pval=strip(scan(vvaluex(dlist(i)),1,'^'))||'^{super '||strip(put(j+nfoot,12.0))||'}';
else if dlist(i)='PVALMV' then pvalmv=strip(scan(vvaluex(dlist(i)),1,'^'))||'^{super '||strip(put(j+nfoot,12.0))||'}';
else if dlist(i)='COVPVAL' then covpval=strip(scan(vvaluex(dlist(i)),1,'^'))||'^{super '||strip(put(j+nfoot,12.0))||'}';
else if dlist(i)='COVPVALMV' then covpvalmv=strip(scan(vvaluex(dlist(i)),1,'^'))||'^{super '||strip(put(j+nfoot,12.0))||'}';
j=dim(plist);
end;
end;
end;
end;
if last then do;
if cmiss(of plist(*))<dim(plist) then do i=1 to dim(plist)-cmiss(of plist(*));
nfoot+1;
if plist(i)='#' then call symputx('foot'||strip(put(nfoot,12.0)),"Likelihood-ratio test;",'l');
else if plist(i)='$' then call symputx('foot'||strip(put(nfoot,12.0)),"Score test;",'l');
else if plist(i)='*' then call symputx('foot'||strip(put(nfoot,12.0)),"Logrank test;",'l');
else if plist(i)='@' then call symputx('foot'||strip(put(nfoot,12.0)),"Wilcoxon test;",'l');
else if plist(i)='+' then call symputx('foot'||strip(put(nfoot,12.0)),"Wald Chi-Square test;",'l');
else if plist(i)='G' then call symputx('foot'||strip(put(nfoot,12.0)),"Gray's k-sample test for equality of cumulative incidence functions;",'l');
end;
call symputx('nfoot',strip(put(nfoot,12.0)),'l');
end;
keep modelnum
%do i = 1 %to &_tndisplay_model;
%superq(_tndisplay_model_&i)
%end;
modeltype subind subtitle
%do i = 1 %to &_tndisplay_stat;
%superq(_tndisplay_stat_&i)
%end;;
run;
proc sql noprint;
%local _ppt _other _destinations _styles k;
select max(ifn(upcase(destination) ^in('LISTING' 'OUTPUT' 'POWERPOINT'),1,0)),
max(ifn(upcase(destination) in('POWERPOINT'),1,0))
into :_other separated by '',:_ppt separated by '' from sashelp.vdest;
quit;
%if &_listing = 1 %then %do;
%do i = 1 %to %sysfunc(countw(%superq(_destinations),|));
ods %scan(%superq(_destinations),&i,|) select none;
%end;
ods listing;
ods listing select all;
data _out_listing;
set _report;
array _chars_ (*) $2000. _character_;
retain _tl;
do i = 1 to dim(_chars_);
if upcase(vname(_chars_(i))) in('PVAL' 'PVALMV' 'COVPVAL' 'COVPVALMV') and _chars_(i)^='--' then do;
if ^missing(_chars_(i)) then _chars_(i)=strip(scan(_chars_(i),1,'^'))||repeat('*',input(compress(scan(_chars_(i),2,'^'),'{super }'),12.)-1);
end;
else if upcase(vname(_chars_(i)))='SUBTITLE' then _chars_(i)='A0A0A0'x||strip(_chars_(i));
end;
if subind=1 and %sysevalf(%superq(title)^=,boolean) and %sysfunc(find(&tabledisplay,title,i))>0 then subtitle=repeat('A0A0'x,2-1)||strip(subtitle);
else if subind=1 then subtitle=repeat('A0A0'x,1-1)||strip(subtitle);
else if subind=0 and %sysevalf(%superq(title)^=,boolean) and %sysfunc(find(&tabledisplay,title,i))>0 then subtitle=repeat('A0A0'x,3-1)||strip(subtitle);
else if subind=0 then subtitle=repeat('A0A0'x,2-1)||strip(subtitle);
run;
proc contents data=_out_listing noprint out=_outldict;
run;
proc sql noprint;
%local _list_cvars;
select upcase(name) into :_list_cvars separated by '|' from _outldict where type=2 and upcase(name) ^in('TITLE' 'FOOTNOTE');
%do i = 1 %to %sysfunc(countw(%superq(_list_cvars),|,m));
%local _list_%scan(%superq(_list_cvars),&i,|,m);
%end;
select %do i = 1 %to %sysfunc(countw(%superq(_list_cvars),|,m));
%if &i>1 %then %do; , %end;
max(length(strip(%scan(%superq(_list_cvars),&i,|,m))))+4
%end;
into %do i = 1 %to %sysfunc(countw(%superq(_list_cvars),|,m));
%if &i>1 %then %do; , %end;
:_list_%scan(%superq(_list_cvars),&i,|,m) separated by ''
%end;
from _out_listing;
%local _list_totlength headerlength datalength;
%let _list_totlength=0;
%do i = 1 %to %sysfunc(countw(%superq(_list_cvars),|,m));
%if %sysevalf(%qupcase(%scan(%superq(_list_cvars),&i,|,m))=SUBTITLE,boolean) %then %let headerlength=0;
%else %do;
%if %sysfunc(countw(%superq(t%scan(%superq(_list_cvars),&i,|,m)header),~,m))>1 %then %do j=1 %to %sysfunc(countw(%superq(t%scan(%superq(_list_cvars),&i,|,m)header),~,m));
%if &j=1 %then %let headerlength=%length(%qscan(%superq(t%scan(%superq(_list_cvars),&i,|,m)header),&j,~,m));
%else %let headerlength=%sysfunc(max(&headerlength,%length(%qscan(%superq(t%scan(%superq(_list_cvars),&i,|,m)header),&j,~,m))));
%end;
%else %let headerlength=%length(%superq(t%scan(%superq(_list_cvars),&i,|,m)header));
%end;
%let datalength=%superq(_list_%scan(%superq(_list_cvars),&i,|,m));
%let _list_%scan(%superq(_list_cvars),&i,|,m)=%sysfunc(max(&headerlength,&datalength));
%let _list_totlength=%sysevalf(&_list_totlength+%sysfunc(max(&headerlength,&datalength)));
%end;
alter table _out_listing
modify %do i = 1 %to %sysfunc(countw(%superq(_list_cvars),|,m));
%if &i>1 %then %do; , %end;
%scan(%superq(_list_cvars),&i,|,m) char(%superq(_list_%scan(%superq(_list_cvars),&i,|,m)))
%end;;
quit;
options linesize=%sysfunc(max(64,%sysfunc(min(256,&_list_totlength)))) nocenter notes;
proc report data=_out_listing spacing=0 nowd split='~' missing;
columns
("%sysfunc(tranwrd(%superq(tabletitle),`,~))~%sysfunc(repeat(-,&_list_totlength-1))"
modelnum /**Used for sorting and distinguishing Models**/
/**Titles and Footnotes are listed first to be used in compute blocks later**/
%do i = 1 %to &_tndisplay_model;
%superq(_tndisplay_model_&i)
%end;
modeltype /**Used to determine if KM or CIF**/
subind subtitle /*These are always shown*/
/*Statistics*/
%do i = 1 %to &_tndisplay_stat;
%superq(_tndisplay_stat_&i)
%end;);
define subind / display noprint; /**Not Printed but defined**/
define modelnum / order noprint;/**Used to keep models in order**/
define modeltype / order noprint;/**Used to keep models in order**/
%do i = 1 %to &_tndisplay_model;
define %superq(_tndisplay_model_&i) / order noprint;/**Used in compute blocks later**/
compute
%if %sysevalf(%qupcase(%superq(_tndisplay_model_&i))=TITLE,boolean) %then %do;
before
%end;
%else %do;
after
%end;
%superq(_tndisplay_model_&i) / style={just=l};
line @4 %superq(_tndisplay_model_&i) $2000.;
endcomp;
%end;
compute before modelnum;
count+1;
x="%sysfunc(repeat(-,&_list_totlength-1))";
if count=1 then len=0;
else len=length(x);
line @1 x $varying. len;
endcomp;
/**If KM and CIF are both used, then add subtitle to each model**/
%if &_multmethodcheck>1 %then %do;
compute before modeltype / style={just=l};
length text $150.;
if modeltype=0 then text='Kaplan-Meier methods';
else if modeltype=1 then text='(1-Kaplan-Meier) methods';
else if modeltype=2 then text='Cumulative incidence methods';
else if modeltype=3 then text='Inverse weights adjusting methods';
else if modeltype=4 then text='Direct adjusting methods';
line @4 text $150.;
endcomp;
%end;
/**Widths are set to 30 to avoid throwing line-size errors**/
/**This Summary Table is not designed to be viewed in the output window**/
define subtitle / display "~%sysfunc(repeat(-,&_list_subtitle-1))" id; /**Class level descriptions**/
%do i =1 %to &_tndisplay_stat;
%if %qupcase(&&_tndisplay_stat_&i)=TIMELIST %then %do;
define timelist / display center
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Kaplan-Meier method;),boolean) %then %do;
"&ttimelistheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_timelist-1))"
%let j=&nfoot;
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(1-Kaplan-Meier method;),boolean) %then %do;
"&ttimelistheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_timelist-1))"
%let j=&nfoot;
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Cumulative incidence method;),boolean) %then %do;
"&ttimelistheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_timelist-1))"
%let j=&nfoot;
%end;
%else %if &j=&nfoot %then %do;
"&ttimelistheader~%sysfunc(repeat(-,&_list_timelist-1))"
%end;
%end;
%else %do;
"&ttimelistheader~%sysfunc(repeat(-,&_list_timelist-1))"
%end;;
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=TIMELISTMV %then %do;
define timelistmv / display center
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Direct adjusting method;),boolean) %then %do;
"&ttimelistmvheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_timelistmv-1))"
%let j=&nfoot;
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Inverse weights adjusting method;),boolean) %then %do;
"&ttimelistmvheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_timelistmv-1))"
%let j=&nfoot;
%end;
%else %if &j=&nfoot %then %do;
"&ttimelistmvheader~%sysfunc(repeat(-,&_list_timelistmv-1))"
%end;
%end;
%else %do;
"&ttimelistmvheader~%sysfunc(repeat(-,&_list_timelistmv-1))"
%end;;
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=HR %then %do;
define hr / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Cox model;),boolean) %then %do;
"&thrheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_hr-1))"
%end;
%end; center;
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=HRMV %then %do;
define hrmv / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Cox model;),boolean) %then %do;
"&thrmvheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_hrmv-1))"
%end;
%end; center;
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=MEDIAN %then %do;
define median / display center
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Kaplan-Meier method;),boolean) %then %do;
"&tmedianheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_median-1))"
%let j=&nfoot;
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(1-Kaplan-Meier method;),boolean) %then %do;
"&tmedianheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_median-1))"
%let j=&nfoot;
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Cumulative incidence method;),boolean) %then %do;
"&tmedianheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_median-1))"
%let j=&nfoot;
%end;
%else %if &j=&nfoot %then %do;
"&tmedianheader~%sysfunc(repeat(-,&_list_median-1))"
%end;
%end;
%else %do;
"&tmedianheader~%sysfunc(repeat(-,&_list_median-1))"
%end;;
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=MEDIANMV %then %do;
define medianmv / display center
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Direct adjusting method;),boolean) %then %do;
"&tmedianmvheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_medianmv-1))"
%let j=&nfoot;
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Inverse weights adjusting method;),boolean) %then %do;
"&tmedianmvheader%sysfunc(repeat(*,&j-1))~%sysfunc(repeat(-,&_list_medianmv-1))"
%let j=&nfoot;
%end;
%else %if &j=&nfoot %then %do;
"&tmedianmvheader~%sysfunc(repeat(-,&_list_medianmv-1))"
%end;
%end;
%else %do;
"&tmedianmvheader~%sysfunc(repeat(-,&_list_medianmv-1))"
%end;;
%end;
%else %do;
define %qupcase(&&_tndisplay_stat_&i) / display
"%superq(%sysfunc(compress(t&&_tndisplay_stat_&i..header)))~%sysfunc(repeat(-,%superq(%qupcase(_list_%superq(_tndisplay_stat_&i)))-1))" center;
%end;
%end;
/**Choose the furthest right column in the dataset**/
/**This allows other columns to be manipulated as they are all to the left of this column**/
/**PROC REPORT does not give values to columns to the right of the currently processed columns**/
/**Creates the overall footnotes at the bottom of the table**/
compute after /style={just=l};
line @1 "%sysfunc(repeat(-,&_list_totlength-1))";
/**Creates footnotes with symbols based on which columns are requested with TABLEDISPLAY**/
%if &nfoot > 0 %then %do;
line @4
%do i = 1 %to &nfoot;
"%sysfunc(repeat(*,&i-1))&&foot&i "
%end;;
%end;
%if &nfoot=0 and %sysevalf(%superq(tablefootnote)=,boolean) %then %do;
line @4 " ";
%end;
/**Lists the table footnote**/
%if %sysevalf(%superq(tablefootnote)=,boolean) =0 %then %do;
line @4 "&tablefootnote";
%end;
endcomp;
run;
options nonotes &_center;
proc datasets nolist nodetails;
%if &debug=0 %then %do;
delete _outldict _out_listing ;
%end;
quit;
ods select all;
%end;
%if &_other = 1 or &_ppt = 1 or &_rtf=1 or %sysevalf(%superq(outdoc)^=,boolean) %then %do;
ODS LISTING CLOSE;
%local _rloop;
%if &_other=1 %then %let _rloop=OTHER;
%if &_ppt=1 and %sysevalf(%superq(_rloop)=,boolean) %then %let _rloop=PPT;
%else %if &_ppt=1 %then %let _rloop=&_rloop|PPT;
%do rloop = 1 %to %sysfunc(countw(&_rloop,|));
%if %sysevalf(%scan(%superq(_rloop),&rloop,|)=OTHER,boolean) %then %do;
%if &_ppt=1 %then %do;
ods POWERPOINT exclude all;
%end;
%end;
%else %do;
ods POWERPOINT select all;
ods POWERPOINT style=_newsurvtableppt;
%do k = 1 %to %sysfunc(countw(%superq(_destinations),|));
%if %sysevalf(%qupcase(%qscan(%superq(_destinations),&k,|))^=POWERPOINT,boolean) %then %do;
ods %scan(%superq(_destinations),&k,|) exclude all;
%end;
%end;
%end;
options notes;
proc report data=_report
nowd split='~' missing;
columns
(modelnum /**Used for sorting and distinguishing Models**/
/**Titles and Footnotes are listed first to be used in compute blocks later**/
%do i = 1 %to &_tndisplay_model;
%superq(_tndisplay_model_&i)
%end;
modeltype /**Used to determine if KM or CIF**/
subind subtitle /*These are always shown*/
/*Statistics*/
%do i = 1 %to &_tndisplay_stat;
%superq(_tndisplay_stat_&i)
%end;);
define subind / display noprint; /**Not Printed but defined**/
define modelnum / order noprint;/**Used to keep models in order**/
define modeltype / order noprint;/**Used to keep models in order**/
%do i = 1 %to &_tndisplay_model;
define %superq(_tndisplay_model_&i) / order noprint;/**Used in compute blocks later**/
compute
%if %sysevalf(%qupcase(%superq(_tndisplay_model_&i))=TITLE,boolean) %then %do;
before
%end;
%else %do;
after
%end;
%superq(_tndisplay_model_&i) /
%if %sysevalf(%qupcase(%superq(_tndisplay_model_&i))=TITLE,boolean) %then %do;
style={fontweight=bold just=l bordertopstyle=solid bordertopcolor=black bordertopwidth=0.1}
%end;
%else %if %sysfunc(find(&tabledisplay,title,i))=0 %then %do;
style={fontweight=bold just=l borderbottomstyle=solid borderbottomcolor=black borderbottomwidth=0.1}
%end;
%else %do;
style={fontweight=bold just=l}
%end;;
line %superq(_tndisplay_model_&i) $2000.;
endcomp;
%end;
/**If KM and CIF are both used, then add subtitle to each model**/
%if &_multmethodcheck>1 %then %do;
compute before modeltype /
%if %sysfunc(find(&tabledisplay,title,i))=0 and
%sysfunc(find(&tabledisplay,footnote,i))=0 %then %do;
style={fontweight=bold just=l bordertopstyle=solid bordertopcolor=black bordertopwidth=0.1}
%end;
%else %do;
style={fontweight=bold just=l}
%end;;
length text $150.;
if modeltype=0 then text='Kaplan-Meier methods';
else if modeltype=1 then text='(1-Kaplan-Meier) methods';
else if modeltype=2 then text='Cumulative incidence methods';
else if modeltype=3 then text='Inverse weights adjusting methods';
else if modeltype=4 then text='Direct adjusting methods';
line @1 text $150.;
endcomp;
%end;
/**Widths are set to 30 to avoid throwing line-size errors**/
/**This Summary Table is not designed to be viewed in the output window**/
define subtitle / display '' id style={cellwidth=&tsubtitlewidth}; /**Class level descriptions**/
%do i =1 %to &_tndisplay_stat;
%if %qupcase(&&_tndisplay_stat_&i)=TIMELIST %then %do;
define timelist / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Kaplan-Meier method;),boolean) %then %do;
"&ttimelistheader^{super &j}"
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(1-Kaplan-Meier method;),boolean) %then %do;
"&ttimelistheader^{super &j}"
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Cumulative incidence method;),boolean) %then %do;
"&ttimelistheader^{super &j}"
%end;
%end;
%else %do;
"&ttimelistheader"
%end;
style={cellwidth=&ttimelistwidth};
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=TIMELISTMV %then %do;
define timelistmv / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Direct adjusting method;),boolean) %then %do;
"&ttimelistmvheader^{super &j}"
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Inverse weights adjusting method;),boolean) %then %do;
"&ttimelistmvheader^{super &j}"
%end;
%end;
%else %do;
"&ttimelistmvheader"
%end;
style={cellwidth=&ttimelistmvwidth};
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=HR %then %do;
define hr / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Cox model;),boolean) %then %do;
"&thrheader^{super &j}"
%end;
%end; center style={cellwidth=&thrwidth};
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=HRMV %then %do;
define hrmv / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Cox model;),boolean) %then %do;
"&thrmvheader^{super &j}"
%end;
%end; center
style={cellwidth=&thrmvwidth};
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=MEDIAN %then %do;
define median / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Kaplan-Meier method;),boolean) %then %do;
"&tmedianheader^{super &j}"
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(1-Kaplan-Meier method;),boolean) %then %do;
"&tmedianheader^{super &j}"
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Cumulative incidence method;),boolean) %then %do;
"&tmedianheader^{super &j}"
%end;
%end;
%else %do;
"&tmedianheader"
%end;
center style={cellwidth=&tmedianwidth};
%end;
%else %if %qupcase(&&_tndisplay_stat_&i)=MEDIANMV %then %do;
define medianmv / display
%if &nfoot>0 %then %do j = 1 %to &nfoot;
%if %sysevalf(%superq(foot&j)=%nrstr(Direct adjusting method;),boolean) %then %do;
"&tmedianmvheader^{super &j}"
%end;
%else %if %sysevalf(%superq(foot&j)=%nrstr(Inverse weights adjusting method;),boolean) %then %do;
"&tmedianmvheader^{super &j}"
%end;
%end;
%else %do;
"&tmedianmvheader"
%end;
center style={cellwidth=&tmedianmvwidth};
%end;
%else %do;
define %qupcase(&&_tndisplay_stat_&i) / display "%superq(%sysfunc(compress(t&&_tndisplay_stat_&i..header)))" center
style={cellwidth=%superq(%sysfunc(compress(t%superq(_tndisplay_stat_&i)width)))};
%end;
%end;
/*Print title before table*/
compute before _page_/
style={leftmargin=0.06in bordertopstyle=none borderbottomstyle=solid borderbottomwidth=0.1 borderbottomcolor=black
vjust=bottom just=left color=black background=white};
%do i = 1 %to %sysfunc(max(1,%sysfunc(countw(%superq(tabletitle),`,m))));
line @1 "%scan(%superq(tabletitle),&i,`,m)";
%end;
endcomp;
/**Choose the furthest right column in the dataset**/
/**This allows other columns to be manipulated as they are all to the left of this column**/
/**PROC REPORT does not give values to columns to the right of the currently processed columns**/
compute &&_tndisplay_stat_&_tndisplay_stat;
%if &tableshading=1 %then %do;
/**Creates alternating-shading using modulo arithmatic**/
if subind=1 then shade=1;
else do;
if _subind=1 then shade+1;
else if ^missing(subtitle) then shade+1;
end;
_subind=subind;
if mod(shade,2)=0 then call define(_row_, 'style/merge','style={background=GREYEF');
%end;
%do i =1 %to &_tndisplay_stat;
%if %qupcase(&&_tndisplay_stat_&i)=TIMELIST %then %do;
if find(timelist,':')=0 then call define('timelist','style/merge','style={just=c}');
%end;
%end;
%do i =1 %to &_tndisplay_stat;
%if %qupcase(&&_tndisplay_stat_&i)=TIMELISTMV %then %do;
if find(timelistmv,':')=0 then call define('timelistmv','style/merge','style={just=c}');
%end;
%end;
/**Creates an indented list of class levels using the subind variable**/
if subind=1 and %sysevalf(%superq(title)^=,boolean) and %sysfunc(find(&tabledisplay,title,i))>0 then
call define('subtitle','style/merge','style={fontweight=bold indent=0.12in}');
else if subind=1 then call define('subtitle','style/merge','style={fontweight=bold indent=0.06in}');
else if subind=0 and %sysevalf(%superq(title)^=,boolean) and %sysfunc(find(&tabledisplay,title,i))>0 then
call define('subtitle','style/merge','style={indent=0.18in}');
else if subind=0 then call define('subtitle','style/merge','style={indent=0.12in}');
%if %sysfunc(find(&tabledisplay,title,i))=0 and
%sysfunc(find(&tabledisplay,footnote,i))=0 and &_multmethodcheck=1 %then %do;
if subind=1 then call define(_row_,'style/merge','style={bordertopstyle=solid bordertopcolor=black bordertopwidth=0.1}');
%end;
endcomp;
/**Creates the overall footnotes at the bottom of the table**/
compute after /style={leftmargin=0.06in bordertopstyle=solid bordertopwidth=0.1 bordertopcolor=black vjust=top color=black just=l};
/**Creates footnotes with symbols based on which columns are requested with TABLEDISPLAY**/
%if &nfoot > 0 %then %do;
line @1
%do i = 1 %to &nfoot;
"^{super &i}&&foot&i "
%end;;
%end;
%if &nfoot=0 and %sysevalf(%superq(tablefootnote)=,boolean) %then %do;
line @1 " ";
%end;
/**Lists the table footnote**/
%if %sysevalf(%superq(tablefootnote)=,boolean) =0 %then %do;
line @1 "&tablefootnote";
%end;
endcomp;
run;
options nonotes;
%end;
%end;
%end;
%if %sysevalf(%qupcase(%superq(axiscolor))^=BLACK,boolean) or &summary=1 %then %do;
%do i = 1 %to %sysfunc(countw(%superq(_destinations),|));
ods %scan(%superq(_destinations),&i,|) style=%scan(%superq(_styles),&i,|);
%end;
%end;
/**Closes the ODS file**/
%if %sysevalf(%superq(outdoc)=,boolean)=0 %then %do;
ods &destination close;
%end;
/**Outputs Plot Dataset**/
%if %sysevalf(%superq(outp)=,boolean)=0 %then %do;
data &outp;
set _plot;
run;
%end;
%errhandl:
/**Reset Graphics Options**/
ods graphics / reset=all;
%if &_listing=1 %then %do;
ods Listing;
%end;
%else %do;
ods listing close;
%end;
ods select all;
ods results;
/**Delete temporary datasets**/
proc datasets nolist nodetails;
%if &debug=0 %then %do;
delete _temp _options _plot _report
%if %sysevalf(%superq(out)=,boolean) %then %do;
_summary
%end;
%do z = 1 %to &nmodels;
_plot_&z
%end; ;
%end;
quit;
/**Reload previous Options**/
ods path &_odspath;
options mergenoby=&_mergenoby &_notes &_qlm linesize=&_linesize msglevel=&_msglevel &_mprint;
goptions device=&_device gsfname=&_gsfname &_gborder
xmax=&_xmax ymax=&_ymax xpixels=&_xpixels ypixels=&_ypixels imagestyle=&_imagestyle iback=&_iback;
%put NEWSURV has finished processing, runtime: %sysfunc(putn(%sysevalf(%sysfunc(TIME())-&_starttime.),mmss8.4));
%mend;
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