Message-ID: <web-16656881@mail3.rug.nl>
Date: 2006-02-23T17:24:09Z
From: I.Szentirmai
Subject: binomial models with too many 1s???
In-Reply-To: <Pine.LNX.4.58.0602231717050.17370@thorin.ci.tuwien.ac.at>
Dear R users,
Does anyone know a solution for the problem when there are
too many ones or zeros in the respons of a binomial model?
I think this means that the data are over/under despersed
and the result is very bad model fit.
I'm using glmmPQL(family=quasibinomial) to fit a model to
my data, but the model estimates are not in the range they
should be due to overdispersion (or under?) What shall I
do? Is there a model type for this kind of data? I would
prefer to keep all may data, otherwise I could also select
some of the ones so that their number will be equal to the
number of zeros. But I don't thik this is the right way...
Any help would be appreciated.
Thanks,
Istvan