Hi @COMPAREMISSING , a short answer to your question is YES.  But according to the SAS export @Cynthia_sas , you would not have a SAS solution in any time soon (I can be wrong).    I understand your motivation for this project, and the good news is that the method is out there for quite a long time.  Here is an example for you to start, using a modified program from @Cynthia_sas , and a short description of the method is in a SAS Global Forum 2020 paper.   Good Luck and Happy New Year! title; footnote; ods escapechar='^'; data heart; set sashelp.heart(obs=100); pg=1+floor(_n_/35); data shoes; set sashelp.shoes(obs=150);; pg=1+floor(_n_/35); options pageno=1; ods rtf file='~/sasout/multpages.rtf'; title j=c "SASHELP.HEART" j=r 'Page ^{thispage} of ^{lastpage}' j=l 'PAGE_X_OF_Y'; proc report data=heart; col pg sex status ageatstart diastolic systolic; define pg /order order=internal noprint; break after pg/page; run; title; title j=l 'Page ^{thispage} of ^{lastpage}' j=c "SASHELP.SHOES" j=r 'PAGE_X_OF_Y'; proc report data=shoes; col pg region product sales inventory; define pg /order order=internal noprint; break after pg/page; run; ods _all_ close; title; ... View more

It's unclear to me if this was successful.  But -- if you haven't read this thread.  It certainly is related to this. https://communities.sas.com/t5/SAS-Programming/Import-xls-file-using-encoding-UTF-8/td-p/598659     ... View more

same question here. After I find the best model based on AIC ( weibull, exp, gamma....), how could  I  use use the output estimated parameters to calculate the restricted mean survival time  given a time point ?    Thanks ! Jen ... View more

Simulation is your best bet.  However, with transformations (logit) you might be able to use PROC GLMPOWER.  You will need good estimates of the correlation over time to get an accurate estimate.  If you have SAS/STAT14.1, look at Example 48.3 Repeated Measures ANOVA as a starting place.   Steve Denham ... View more

Thanks a lot this was really helpfoul. Barbara ... View more

What do you want the titles to look like? General syntax would be something like options nobyline; Title "Title text, #byline"; befor the proc reg. then options byline; to return default behavior of the by variables. Do you want the titles as part of the plot or outside? That would be controlled by use of the GTITLE or NOGTITLE as an option on the ODS RTF statement. ... View more

That is not an easy answer that can be dropped in this space.  I have attached some code that does a five parameter logistic regression for a cell based bioassay that might be adaptable, but beware, it is not documented, it does get convoluted, and it was written for v9.1.3. I hope this will help. Steve Denham ... View more

Maybe I'm misunderstanding your question, but GENMOD does not give prediction intervals for individual responses. There are two confidence intervals that regression routines return. The familiar one is the confidence interval for the mean predicted value. (Most/All SAS regression procedures return this.)  The other is prediction limits for an individual response.  REG and GLM return this, but GENMOD does not. For details, see the formulas for LowerM versus LowerI in the regression chapter of the SAS/STAT doc: http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_introreg_sect010.htm ... View more

A SAS variable either does or does not have a MISSING value. Yes, PROC COMPARE can compare two datasets having missing value variables. Maybe your question can be addressed by reviewing the PROC COMPARE documentation? Scott Barry SBBWorks, Inc. Example 11: How PROC REPORT Handles Missing Values http://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/a002473658.htm SAS Procedures Guide - COMPARE procedure http://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/a000057814.htm ... View more