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Calcite | Level 5

Hi,

 

I'm trying to fit a random intercept mixed model with a sp(pow) covariance structure (time is continuous) to quality of life data. When I try to run the code below SAS gives me the following error:

 

"Warning: Stopped because of too many likelihood evaluations."


proc mixed data=data cl;

class person_id treatment_group;

model QOL = QOL_baseline treatment_group time treatment_group*time

/ solution cl htype=1;

repeated / type=sp(pow)(time) subject=person_id r rcorr;

random intercept / subject=person_id;

run;

 

Can anyone help?

1 REPLY 1
sld
Rhodochrosite | Level 12 sld
Rhodochrosite | Level 12

As noted in Tips and Strategies for Mixed Modeling with SAS/STAT® Procedures by Kiernan et al., this warning could be due to an overspecified model. Try omitting

 

random intercept / subject=person_id;

This paper by Littell et al. describes the difference between an AR(1)+RE structure and an AR(1) structure.

 

The Kiernan et al. paper lists other potential solutions to this problem.

 

I'd also add the <repeated-effect> to the REPEATED statement; it may not be necessary for your data but it's a programming safeguard. See the documentation.

 

I hope this helps.

 

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