I have a study with repeated measures exposure (x measured once daily for several days) and a single fixed outcome at the end of the study (Y, event status at day 30). What would be the appropriate modeling approach? Normally, I would use GEE with PROC GENMOD, but the response variable is a one-time measurement at end of study and not a repeated measure. Only the predictors are repeated measure. proc genmod desc; CLASS subject day; MODEL y = x / DIST=BIN LINK=logit; REPEATED SUBJECT=subject / WITHINSUBJECT=day TYPE=UN; run; In the above program, would it be valid for me to copy Y to all study days for each subject, even though it is a cross-sectional measure taken at end of study? The program runs if I do that, but is that valid for this unique case? Regarding alternative models, my field discourages Cox models because time-to-event is viewed as not relevant for such short follow-up periods. Plus, there's a time-gap between the last measured X and the later-assessed cross-sectional outcome Y. Any help would be greatly appreciated!
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