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


From   a b <andythezoologist@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Dispersion parameter for a Negative Binomial model within GEE framework
Date   Wed, 22 Dec 2010 09:19:15 +0000


 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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