Dear ALL,   Just a 2 by 2 crosser design with two treatments at each period; Sequence 1: Period 1 --Treatment A; Period 2--Treatment B; Sequence 2: Period 1 --Treatment B;  Period 2-- Treatment A;   Subject will be randomized to sequence 1 or 2; Each sequence will have 5 subjects; The variable we want to analyze is a Response binary variable ( with values 0 (No) or 1 (Yes)); The pupose is to check whether the response between two Treatments are same.   Perperty of this design: Each subject will be assessed two times (each for one treatment). Result have below two cases: Case I:         Treatment A: Response=Yes (10 subjects, i.e. all response to Yes for treatment A); Response=No (0 subjects);          Treatment B: Response=Yes (10 subjects, ie. all response to Yes for Treatment B as well); Response=NO (0 Subjects); Per the posts I raised earlier, the odds ratio for this case is not defined as the cells under Response=0 for both treatments are 0; Question: I can't calculate the relative risk under this case, right? Case II:        Treatment A: Response=Yes (9 subjects, i.e. 9 response to Yes for treatment A); Response=No (1 subjects);          Treatment B: Response=Yes (9 subjects, ie. 9 response to Yes for Treatment B as well); Response=NO (1 Subjects); Wired thing came out: When I use below code with the consideration of each subject as stratum, both the odds ratio and relative risk can't be produced. proc freq data=dar_s(where=(group=5)); tables drgdsc1a*swaevl2C; run; proc freq data=dar_s (where=(group=5)) order=data; BY Group; table SBJ1N*drgdsc1a*SWAEVL2C /alpha=0.1 cmh noprint; output out=ODDS CMH;/*This table is used to calculate the p-value so as to make a commparison with the value produced from PROC LOGISTIC**/ run;     What is your suggestion? Should I not to consider the dependence?   Only use McNemar Test to assess whether the resposne results to two treatments are consistent and test whether the proportion between two treatment for Response=yes is equal?   Highly appreciated for your help .     Best, JACK   ... View more

Dear All,   I just defined one template aims to create one histogram change with group.   I wanted to add another seriesplot to connect the different bars over time for each group. However, when I tried added the SERIESPLOT in the layout prototype, and then run, there was always  a WARNING: WARNING: The scatterplot statement will not be drawn because one or more of the required arguments were not supplied. So could you guide me why this happen? And how should I do to reach my aim.   Many thanks, Jack *******Pot the frequency data by country, visit and the category; PROC TEMPLATE; define statgraph freq_hist; begingraph/designwidth=20in designheight=10in; dynamic _x _y _title _footnote _rowvar _columnvar _group; entrytitle _title; entryfootnote _footnote; layout datalattice ROWVAR=_rowvar columnvar=_columnvar/rows=2 backgroundcolor=aliceblue border=FALSE headerbackgroundcolor=lightblue columnaxisopts=(display=(ticks tickvalues label) griddisplay=ON label="Visit (month)") rowaxisopts=(display=(ticks tickvalues label) griddisplay=ON label="Frquency") skipemptycells=TRUE cellwidthmin=80; layout prototype; barchart category=_x Response=_y/group=_group groupdisplay=CLUSTER includemissinggroup=TRUE barlabel=TRUE barlabelfitpolicy=NONE barlabelattrs=(color=gray) name="barchart" legendlabel="BCVA Score"; seriesplot x=_x y=_y/group=_group groupdisplay=CLUSTER ; **scatterplot x=_x y=_y/group=_group groupdisplay=CLUSTER jitter=AUTO; endlayout; sidebar; discretelegend "barchart"/backgroundcolor=lightcyan border=TRUE location=INSIDE title="BCVA SCORE"; endsidebar; endlayout; endgraph; end; run; proc sgrender data=VA_country(where=(missing(BCVASCOR1N)=0)) template=freq_hist; dynamic _x="VIS2N" _y="COUNT" _label="Frequency plot of the different scores over Visit" _footnote="Test with categorical data illustration.sas" _rowvar="COU1A" _columnvar="EVLEYE1C" _group="BCVASCOR1N" ; format vis2n VIS_month. COU1A $country.; run; ... View more