Hi,
Does anyone know if there is a way to get odds ratios (and 95% confidence intervals) for a multiple logistic regression model where data was imputed with proc mi (fcs logistic regression method) and combined with proc mianalyze?
This is the code I used:
PROC MIANALYZE PARMS(CLASSVAR=CLASSVAL)=temp.parmsout covb(effectvar=stacking)=temp.covbout;
CLASS homeowner carowner Ethnicity;
MODELEFFECTS age_reg homeowner carowner Ethnicity;
RUN;
This gives me the pooled parameter estimates from my 10 imputations and the variance information, but wondering if I can get pooled odds ratios? Or can I transform the estimates into odds ratios?
Any help would be much appreciated.
Many Thanks
Alright, I just posted my own question - so I will pay it forward by tryig to tackle this one.
proc surveylogistic data=mydata varmethod=jk;
by _imputation_;
class X1 (ref='0') /param=ref;;
model Y (event='1') = X1;
ods output parameterestimates=ORs;
run;
proc mianalyze parms(classvar=classval)=ORs;
class X1;
modeleffects intercept X1;
run;
I hope this helps, I just grabbed this old piece of code from when I ran a comparable question.
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