Hi, I'm trying to run a mixed model (repeated analysis) on my imputed database (imputed in spss, then imported to sas). This works fine, however, I would like to pool the estimates of the 5 imputed sets. When trying to use mianalyze I get an error. My mixed model: procmixed method=reml noclprint noitprint data=growth.growth; class MeanSys_cat; model sdheigth = MeanSys_cat age MeanSys_cat*age AGE_M BMI_0 PARITY2_catd2 EDUCM2_cat_catd1 SMOKE_PRE2d2 FOLIUM_VALIDATED_catd1 FOLIUM_VALIDATED_catd2 SBP_1 DBP_1 hyperdis GENDER agey5child ETHNINFv2_catd2 BFEVER_catd1/solution covb; repeated / type=un subject= idm r rcorr; by _imputation_ ; odsoutput SolutionF=mxparms CovB=mxcovb; run; MI analyze: procmianalyze parms (classvar=full)=mxparms; class MeanSys_cat; modeleffects Intercept MeanSys_cat age MeanSys_cat*age AGE_M BMI_0 PARITY2_catd2 EDUCM2_cat_catd1 SMOKE_PRE2d2 FOLIUM_VALIDATED_catd1 FOLIUM_VALIDATED_catd2 SBP_1 DBP_1 hyperdis GENDER agey5child ETHNINFv2_catd2 BFEVER_catd1; run; And this is the error: ERROR: _Imputation_ less than or equal to 0 in the input PARMS= data set. Does anyone know what I am doing wrong? Or if it is even possible to do what I'm trying? Thanks! Liza
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