topic SITE EFFECT IN A REPEATED MEASURE ANALYSIS in SAS Procedures

SITE EFFECT IN A REPEATED MEASURE ANALYSIS

twix17 — Thu, 14 Jul 2022 05:18:15 GMT

Dear All,
I did some analysis using a mixed model (code below). Now I want to look for the effect of site i.e. if there's difference between sites where the data were collected because a site has about 70% subjects than the other two sites. I want to know if this would affect my analysis and where do I put the site variable in my model. Do you know how I could test for the effect of the site in the model?
Thanks for helping.
trt is the the treatment grp
sub is the subject
time is the different time point
and site is the different site that the subject data is collected.

proc mixed data=data;
class trt sub time (ref=first);
model Y = time trt time*trt/ s chisq;
repeated / type=un subject=sub r;
run;

Thank again.
~Sammy

Re: SITE EFFECT IN A REPEATED MEASURE ANALYSIS

SteveDenham — Thu, 14 Jul 2022 14:46:55 GMT

I assume there are two sites you want to handle. Try the following code:

proc mixed data=data;
class trt sub time (ref=first) site;
model Y = time|trt|site/ s chisq;
repeated time / type=un subject=sub r;
run;

The F tests for time*site, trt*site, and time*trt*site are key to your question. If any of these are significant, you need to think about comparing factors within site (see SLICE in the documentation). If none are significant, then you can check the test for 'site' to look for systematic differences between sites, regardless of treatment or time - the equivalent of a change in intercept in a regression model.

SteveDenham

Re: SITE EFFECT IN A REPEATED MEASURE ANALYSIS

twix17 — Thu, 14 Jul 2022 14:59:04 GMT

Thank you sir for the response and direction.