BookmarkSubscribeRSS Feed
ramvieira
Fluorite | Level 6

Dear all,

 

It is past the point that a Continuous AutoRegressive Correlation (CAR) should have been accounted for in PROC NLMIXED. In Vonesh Book, SAS programming sentences for auto regressive correlation for qualitative factors are introduced, but non is for CAR. It would be great if SAS teams account for it!

3 REPLIES 3
sbxkoenk
SAS Super FREQ

Hello,

 

Are you talking about this book?

Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS
by Edward F. Vonesh (Author)
2012

 

Why do you think you cannot work with a continuous-time autocorrelation correlation / error structure in PROC NLMIXED?
You can! (It's not because it's not in the book that it cannot be done)

Koen

ramvieira
Fluorite | Level 6
Dear One

Yes, I am talking about the book.

Please, let me know a reference about a continuous auto-regressive
correlation in NLMIXED. It will help me a lot!

Kind regards and thank you very much,

Ricardo Vieira
sbxkoenk
SAS Super FREQ

Hello,

 

I am quite sure I had found a paper yesterday using CAR within PROC NLMIXED.
I am searching for 10 à 15 minutes now (to find it again), but cannot spot it anymore.

Unfortunately I do not have an example of this type of model using PROC NLMIXED readily available. 

 

Maybe @jiltao can help you out?

 

By the way, is this on pharmaco-kinetics and compartmental models?

If yes, this is FYI. ... ... Currently, NLMIXED is indeed the best option for nonlinear mixed effect models; however, it’s support for ordinary differential equations used in pharmacokinetic models is limited to 1, 2, and 3 compartment models with specific dosing (aka forcing functions). 

I believe SAS is working on adding support for more general pharmacokinetic models.

 

Thanks,

Koen

sas-innovate-wordmark-2025-midnight.png

Register Today!

Join us for SAS Innovate 2025, our biggest and most exciting global event of the year, in Orlando, FL, from May 6-9. Sign up by March 14 for just $795.


Register now!

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 3 replies
  • 579 views
  • 1 like
  • 2 in conversation