Combining random effects from proc GLIMMIX output in MIANALYZE

[Chudamani]

I have been trying to combine estimates for random effects after running PROC GLIMMIX in a multiply imputed dataset. However, I keep getting errors. Any help is appreciated.

The code I used in GLIMMIX to create a dataset with random effects:
PROC GLIMMIX DATA = FULL.DSRTLONGFULL METHOD=QUAD(FASTQUAD) noclprint plots=all;
by _IMPUTATION_;
CLASS RAHHIDPN STRATCLUS   alc (ref='0') smoke(ref='0') GENDER (REF='2') RACE_ETH(ref='1') maritalstat(ref='1')meds(ref='0') hear(ref='5') sleep(ref='1');
MODEL COGSCR = time BMI time*BMI time  BMI  time*BMI  PAscr SEscr alc smoke  
GENDER EDU ciyrsn RACE_ETH R7AGE_N maritalstat income cesd meds hear sleep numcond Funcstat/ SOLUTION DDFM=RESIDUAL obsweight=lev1wt ;
RANDOM INTERCEPT /subject=STRATCLUS  solution type=VC weight=lev3wt; /**LEVEL 3 VARIABLES**/
RANDOM INTERCEPT /subject=RAHHIDPN(STRATCLUS) solution type=VC weight=lev2wt; /**LEVEL 2 VARIABLES**/
COVTEST/WALD;
ODS OUTPUT parameterestimates=FULL.PARAMBMI covparms=full.randombmi;
store BMIall;
RUN;

The MIANALYZE Code:
proc sort data=full.randombmi;
by effect subject _imputation_;
run;

proc mianalyze parms (classvar=Level)=full.randombmi;
by subject;
modeleffects intercept;
run;

The dataset with the estimates:

[SteveDenham]

Noting that you "keep getting errors" without giving us what is found in the log is like cutting off one leg before running a race.  Please post the log, being sure to including any DATA step messages prior to the errors.

SteveDenham

[SAS_Rob · Accepted solution]

You should be able to apply the 2nd example in the usage note below to your situation and get the results.

33131 - How do I combine the covariance parameters from PROC MIXED in PROC MIANALYZE? (sas.com)

[Chudamani]

@SAS_Rob Thank you for the link. This worked perfectly.