When you run a statistical interaction model (e.g., Y=TREATMENT + GENDER + TREATMENT*GENDER), you also want to run a mathematically equivalent model:
Y= T_MALE + C_MALE + T_FEMALE + C_FEMALE.
SUBGROUP defines the four groups below.
This is for linear model (HLM because I have the random statement).
proc glimmix data=asdf3 namelen=32;
class CAMPUSID SUBGROUP;
model y=
x1 x2 x3
SUBGROUP
/solution ddfm=kr dist=normal link=identity s noint;
lsmeans SUBGROUP / ilink diff;
random int / subject = CAMPUSID;
ods output ModelInfo=x1var1 ParameterEstimates=x2var1 CovParms=x3var1
nobs=x4var1 Diffs=DIF_RESULT1;
run;
This is for logistic regression model.
proc glimmix data=asdf METHOD=RSPL;
class CAMPUS_14 subgroup;
model y=x1 x2 x3 subgroup
/dist=binomial link=logit s ddfm=kr;
lsmeans group / ilink diff;
ods output ModelInfo=x1var1 ParameterEstimates=x2var1 CovParms=x3var1
Diffs=DIF_RESULT1 LSMeans=LS1;
run;