BookmarkSubscribeRSS Feed
joseph626
Obsidian | Level 7

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!

 

 

 

 

 

 

1 REPLY 1
Shmuel
Garnet | Level 18

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);

hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

How to Concatenate Values

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.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 1312 views
  • 0 likes
  • 2 in conversation