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From |
jhilbe@aol.com |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Thu, 23 Dec 2010 19:34:36 -0500 (EST) |

My best to the Stata community for the holidays, as well as for 2011. Joseph Hilbe Date: Wed, 22 Dec 2010 18:02:38 -0500 From: David Greenberg <dg4@nyu.edu>

- ----- Original Message ----- From: a b <andythezoologist@hotmail.com> Date: Wednesday, December 22, 2010 4:21 am

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 dataand 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 thedata, and take the alpha estimate from there and subsitute it into

the GEE model?

Many thanks for any help!

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