Hello:
I want to fit a model to count data where many counts are zero. I would
like to posit that the baseline value of an immunologic marker impacts
whether or not a patient experiences any events at all, and the conditional
(on being > 0) expectation of the remaining counts as a function of the
percent inhibition of the immunologic marker. I guess I want to use a
logistic model for the probability of experiencing any events, and a Poisson
model for the conditional expectation. This sounds like it should be a
familiar problem. Can someone point me in the right direction? Thanks in
advance for any help.
Tom Richards
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