Hello, I am working with some proportion data (response/trials) using Proc GLIMMIX and binomial distribution (I've tried both logit and compl log-log links). These data are highly overdispersed because of a large number of zeros, and many of the proportions are fairly small. I want to use Proc FMM to account for these zeros, but I also have hierarchical experimental designs with random variables. For example, I have a block effect, sometimes a nested effect, and sometimes a repeated measure (which I'm analysing as a split-plot effect). However, I don't see how to account for random effects in Proc FMM. I haven't found it in any of the documentation I've read, and am wondering if I can use the same syntax as in GLIMMIX? Thanks!
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