Got Randomness? SAS® for Mixed and Generalized Linear Mixed Models
نویسنده
چکیده
SAS® PROC GLIMMIX fits generalized linear mixed models for nonnormal data with random effects, thus combining features of both PROC GENMOD and PROC MIXED. I will review the ideas behind PROC GLIMMIX and offer examples of Poisson and binary data. PROC NLMIXED also has the capacity to fit these kinds of models. After a brief introduction to that procedure, I will show an example of a zero-inflated Poisson model, which is a model that is Poisson for counts 1,2,3,..., but has more 0s than is consistent with the Poisson. This paper was previously presented at the 2010 SAS Global Forum.
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