Hello,
I have a question regarding hierarchical cox regression model.
When you have two variables for clustering, for example hospital and physician, and want to do time-to-event analysis,
is the following code appropriate? If not, is there any statement or procedure for this analysis?
PROC PHREG data=DATANAME covs(aggregate) covm;
model TIME.*EVENT(0)= Variables /
rl ;
id hospital Physician;
;
run;
The ID statement specifies variables that identify observations in plots and in output data sets, but the ID variable doesn't change the analysis.
From what little information you've provided, I suggest you look at the "Analysis of Clustered Data" example in the PHREG documentation, which uses a RANDOM statement. The doc for the RANDOM statement explains the statistical details of the model that is fit when you use the RANDOM statement.
Dear Rick_SAS,
Thank you very much for your reply.
I will take a look at the website.
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.