I'm looking for a way using macros to deal with a bunch of mixed models...the task is very similar to selection in linear regression:
the first model is: score = var1,
code is like that
PROC MIXED data=model METHOD=ML COVTEST;
CLASS group;
MODEL score = var1/SOLUTION;
RANDOM INTERCEPT /SUB=ID TYPE=UN G;
run;
then it's score = var1 var2, then score = var1 var2 var3... I have up to 7 variables in all, and the criteria is log rank test.
Thanks!
Try next code:
%macro run_model(modl , vars=v1 v2 v3 v4 ... ); /* define as many as need variables */
%let n = %sysfunc(countw(&vars));
%do i=1 %to &n;
%let pos=%sysfunc(findw(&vars, %scan(&vars,&n)));
%let len = %eval(&pos + %length(%scan(&vars,&n));
PROC MIXED data=&modl METHOD=ML COVTEST;
CLASS group;
MODEL score = %substr(&vars,1,&len)/SOLUTION;
RANDOM INTERCEPT /SUB=ID TYPE=UN G;
run;
%end;
%mend run_model;
%run_model(model,vars=var1 var2 var3);
Available on demand!
Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.