I was wondering if anyone could help point me in the right direction with a problem I'm having with the MIAnalyze procedure. I created a multiple imputations data set with 5 imputations and now would like to combine the results using MIAnalyze. I first ran a proc logistic with a class statement (as all my covariates are categorical) and then ran the MIanalyze procedure. I keep getting an error message that "the variable cat_matchage is not in the covb= data set." I think the reason is that the new data set now has broken down cat_matchage into the various levels (i.e. cat_matchage1, cat_matchage2, etc.). Code below:
proc logistic data=reach.matrixmi;
class
infection (PARAM=REF REF='0')
cat_matchage(PARAM=REF REF='1')
mrace(PARAM=REF REF='White Non Hispanic')
meduc (PARAM=REF REF='<High School')
fincome(PARAM=REF REF='<$35,000')
msmokmo(PARAM=REF REF='NA')
momAgeBirth(PARAM=REF REF='<25');
model uni_regout(event="1")= infection cat_matchage mrace fincome meduc msmokmo momagebirth/ covb;
by _imputation_;
format meduc feduc educationnewf. fincome mincome incomenewf.;
where reachdata=2;
ods output parameterestimates=MI.infection covB=MI.covbinfection;
run;
proc mianalyze parms=mi.infection1 covb=mi.covbinfection1;
modeleffects intercept cat_matchage mrace meduc fincome msmokmo momAgeBirth;
run;
Any guidance would be much appreciated thanks!
