Hi Sas community! I am analyzing whether a census-tract level variable (exposure), which is ordinal and has 5 levels, is associated with a binary outcome (outcome), after adjusting for race (racecat), age (agegrp) and clustering by census tract (tract10). My reference category for exposure is 5 and I found significant associations between each lower level of the variable and the reference category of 5. This is the code I used: proc glimmix data=dat; class tract10 exposure racecat agegrp; model outcome (event='1') = exposure racecat agegrp/ dist=binary link=logit ddfm=bw solution oddsratio cl; random intercept / subject=tract10 ; run; I have been asked to look into what % variability can be explained by the exposure variable or by the model, but because I can’t use R^2 for this kind of model, I am at a loss. Can anyone provide some guidance on how to answer this question??
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