BookmarkSubscribeRSS Feed
nataliavanessa0
Calcite | Level 5

Hello everyone:

 

I have a dataset with hierarchically clustered data, meaning repeated measures per patient within repeated hospitals. I am trying to adjust for both levels in my model. I am thinking of using a proc glimmix for my binary outcome. As I unable to use the repeated statement, would this code adjust for my repeated measures per patient in addition to the correlation within hospitals?

 

proc glimmix data= data1;
class hospital ender outcome patient_ID;
model outcome= gender/dist=binary link=logit ddfm=bw solution;
random hospital/ subject=patient_ID ;
run;

 

thanks,

2 REPLIES 2
JOL
SAS Employee JOL
SAS Employee
Try reposting under Analytics menu - Statistical Procedures

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 16. Read more here about why you should contribute and what is in it for you!

Submit your idea!

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 2 replies
  • 408 views
  • 0 likes
  • 2 in conversation