SAS Procedures

Help using Base SAS procedures
BookmarkSubscribeRSS Feed
deleted_user
Not applicable
Hi there,

I tried to do a mixed model with AR(1)+RE variance structure. I did it in two ways, as below. Here id is the subject id. There are two covariates: treatment (trt) and month (continuous).

proc mixed data=one;
class id;
model y= trt month /s;
repeated / type=ar(1) sub=id;
random id;
run;

proc mixed data=one;
class id;
model y= trt month /s;
random id / type=ar(1);
run;

However, they produced very different results. I checked the book "SAS for Mixed Models" Second Edition. It seems the first one is correct. But I wonder why the second one failed, though it converged with 3 covariance parameters: variance, AR(1) and residual. Does anyone know what is the actual covariance structure for the second model? Thanks a lot!

Lei
1 REPLY 1
ArtC
Rhodochrosite | Level 12
Try posting this in the Statistical Procedures forum, you are more likely to get a response.

sas-innovate-white.png

Our biggest data and AI event of the year.

Don’t miss the livestream kicking off May 7. It’s free. It’s easy. And it’s the best seat in the house.

Join us virtually with our complimentary SAS Innovate Digital Pass. Watch live or on-demand in multiple languages, with translations available to help you get the most out of every session.

 

Register now!

What is Bayesian Analysis?

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.

SAS Training: Just a Click Away

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

Browse our catalog!

Discussion stats
  • 1 reply
  • 1225 views
  • 0 likes
  • 2 in conversation