Hi,
I am using the PROC GENMOD statement for my analyses. I would like to see the interaction effects of two variables on the outcome. Let's assume my
- outcome HIV_STATUS = binary
- SEX = binary
- BULLYING = nominal with three levels
PROC GENMOD DATA = test DESCENDING;
CLASS AREAID SEX (REF = "0") HIV_STATUS (REF = "0") BULLYING (REF = "0");
MODEL HIV_STATUS = SEX BULLYING SEX*BULLYING / DIST=Binomial LINK=Logit ALPHA=0.05 TYPE3 ;
RUN;
So the resulting"Analysis Of GEE Parameter Estimates - Empirical Standard Error Estimates" table output would look something like this:
Parameter Estimate (Log Odds)
SEX*BULLYING Level 1 1 0.23
SEX*BULLYING Level 1 0 0.00
SEX*BULLYING Level 2 1 0.50
SEX*BULLYING Level 2 0 0.00
SEX*BULLYING Level 3 1 0.00
SEX*BULLYING Level 3 0 0.00
However, I want to see the estimates comparing possible combinations. So I add the statement:
LSMEANS SEX*BULLYING / DIFF ODDSRATIO CL;
The "Differences of Least Squares Means Table" for this interaction gives me 15 different possible combinations - with an estimate statement and OR.
My question is - and bare with me as I'm new to stats - can I interpret the estimate from the "Differences of Least Squares Means Table" as I would for the estimate (log odds) provided by the "Analysis Of GEE Parameter Estimates - Empirical Standard Error Estimates"? Or should I be finding the ORs separately by hand using the estimates provided by the "Analysis Of GEE Parameter Estimates - Empirical Standard Error Estimates"
If you think there are any resources that might be helpful as well, please do share!
Thank you!
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