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Re: st: Dispersion parameter for a Negative Binomial model within GEE framework


From   David Greenberg <dg4@nyu.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Dispersion parameter for a Negative Binomial model within GEE framework
Date   Wed, 22 Dec 2010 18:02:38 -0500

The negative binomial regression model is not a fix for zero inflation, only for over-dispersion. David Greenberg, Sociology Department, New York University

----- Original Message -----
From: a b <andythezoologist@hotmail.com>
Date: Wednesday, December 22, 2010 4:21 am
Subject: st: Dispersion parameter for a Negative Binomial model within GEE framework
To: statalist@hsphsun2.harvard.edu


>  Dear Statalisters,
> 
> 
>  I have repeated measures data and I want to model at the population 
> average level, and hence I am using GEE. My data is also count data 
> and quite zero inflated - so I am modeling with a negative binomial distribution.
>  I was wondering how best to estimate the dispersion parameter (alpha 
> in Stata/k in Hardin and Hilbe) for the model?
>  Do I just run a nbreg model, ignoring the repeated nature of the 
> data, and take the alpha estimate from there and subsitute it into the 
> GEE model?
> 
>  Many thanks for any help!
> 
>                                                
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