What criteria determine if poisson or negative binomial regression should be used with count data?

02 February 2014 1 8K Report

My variable has no zero values but the scores from 1-5 account for about 50% of the distribution, with a max value = 25.

Marcos Bissoli

I am not sure if my proceedings are correct, but I have been doing the follow. I estimate confidence intervals (CI) for mean and variance, from dependent variable. If these intervals have some values that are equals, so I say that variable do not violate Poisson presuppose: mi = variance = lambda. If variance's CI is higher comparing to any of mean's IC value, so we have a super-variability and negative binomial regression is used.

I developed this method from my self, as I have been understanding Poisson models. I am not sure it is correct, and I apologize for mistakes. It would be interesting listen to someone who could criticize this method.

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