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DW
Calcite | Level 5 DW
Calcite | Level 5

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

1 REPLY 1
H
Pyrite | Level 9 H
Pyrite | Level 9

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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