[R] binomial models with too many 1s???

From: I.Szentirmai <I.Szentirmai_at_rug.nl>
Date: Fri 24 Feb 2006 - 04:24:09 EST

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.


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