I am creating a linear mixed model that includes an interaction term and a random effect based on site. The outcome is a continuous score and the predictor variables all both binary categorical variables - exposure status (yes/no) and group (a/b). I want to know the difference in means for those exposed vs unexposed separately for group a and b. My model is: PROC MIXED DATA = work.data1; CLASS exposure group (ref = "b"); MODEL score = exposure group exposure*group; RANDOM site /subject = id type = un SOLUTION; RUN; I've tried using ESTIMATE statements, LSMEANS, and LSMESTIMATE but I can't seem to get the output that I need. Any help would be appreciated! I am running SAS 9.4 on windows.
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