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Re: st: Dispersion parameter for a Negative Binomial model within GEE framework
From
David Greenberg <[email protected]>
To
[email protected]
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 <[email protected]>
Date: Wednesday, December 22, 2010 4:21 am
Subject: st: Dispersion parameter for a Negative Binomial model within GEE framework
To: [email protected]
> 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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