Message-ID: <20041124215827.73811.qmail@web41411.mail.yahoo.com>
Date: 2004-11-24T21:58:27Z
From: Greg Tarpinian
Subject: Modeling censored binomial / Poisson data
I have some count data (0 - 1 at each time point for
each test subject) that I would like to model. Since
the 1's are rather sparse, the Poisson distribution
comes to mind but I would also consider the binomial.
The data are censored as the data come from a clinical
trial and subjects were able to leave the study and
some were therefore lost to follow-up.
I am aware of the capabilities of lme( ) and nlme( )
through the excellent book by Pinheiro and Bates, but
am at a loss as to what to do with these count data.
Ideally, I would like to compare the placebo and
treatment groups in a meaningful way.
Any input would be greatly appreciated.
Thanks,
Greg
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