Dear all, the question is: what's the sense SAS used and the theory SAS used when I'm using Proc genmode with Binomial distribution and link=identity instead of logit? For the computation of the difference and CI, I'm using a model that fits and adjusts for the correlation within pairs, so I'm using PROC GENMOD. The dataset entered in this procedure is as follow described: -there are records for each Preferred Term per each patient -there are two treatments and a patient can have done both; the patients can be count twice because in one Preferred Term the same patient can have it once with one treatment and with the other (so it is possible there is correlation). -the response variable is Y and N The program used is the following: proc genmod data = dataset_CI descend; by aedecod; class usubjid treatn (ref="2") ; model result=treatn/ dist=bin link=id ; repeated subject=usubjid / corr=unstr ; lsmeans treatn/ diff cl ; run; Descend is used to analyze result=Y; by aedecod is because I need CI for each aedecod; in class statement there is usubjid because I used it in repeated statement and treatn is the treatment numeric variable that can have 2 different values (1 and 2), result is the response variable (Y/N), correlation is unstructured because there is no independence. My question is in model statement: I obviously used the distribution Binomial, the default link is Logit rightly, BUT in my case the only one link that seems correct is the link=identity. What's the sense SAS used and the statistic theory SAS used when I'm using Proc genmod with Binomial distribution and link=identity instead of logit? Thank you very much
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