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Re: RE: st: RE: Countvariables/Poisson Regression in heterogeneouschoice models


From   "Sebastian Sattler" <EL_SEBO@gmx.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: RE: st: RE: Countvariables/Poisson Regression in heterogeneouschoice models
Date   Thu, 26 Jun 2008 19:23:03 +0200

Hallo Jay and Maarten,
thanks for your help. It seems that there is any good and simple solution available.

By,
Seb

-------- Original-Nachricht --------
> Datum: Tue, 24 Jun 2008 21:09:56 -0400
> Von: jverkuilen <jverkuilen@gc.cuny.edu>
> An: statalist@hsphsun2.harvard.edu
> Betreff: RE: st: RE: Countvariables/Poisson Regression in heterogeneous choice models

> Unbiased? Forget about that, doesn't exist in ML for counts (in general).
> 
> It sounds to me like you have a meta-analysis problem. It is not simple
> because  you are going to have to deal with the composite link issue, because
> you have different response scales. 
> 
> Rabe-Hesketh and Skrondal have an article in Psychometrika on this and
> should have sample code and the full cite on http://gllamm.org. 
> 
> JV
> 
> -----Original Message-----
> From: "Sebastian Sattler" <EL_SEBO@gmx.de>
> To: statalist@hsphsun2.harvard.edu
> Sent: 6/24/2008 5:32 PM
> Subject: Re: st: RE: Countvariables/Poisson Regression in heterogeneous
> choice models
> 
> Hello Jay,
> thanks for your fast answer.
> 
> I still read something about poisson/negative binomial regression analysis
> and the "poisson"/"nbreg"-commands in the Long book.
> 
> My problem is an adequate group comparision of coefficients (in different
> models; or with a pooled dataset using interactions of the group variable
> and all other independent variables).
> 
> I have three different studies and I want to compare the results between
> them.
> 
> I do not know any procedure which gives me unbiased estimates.
> 
> Sebastian
> 
> 
> -------- Original-Nachricht --------
> > Datum: Tue, 24 Jun 2008 17:16:10 -0400
> > Von: "Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>
> > An: statalist@hsphsun2.harvard.edu
> > Betreff: st: RE: Countvariables/Poisson Regression in hetergenous choice
> models
> 
> > Sebastian Sattler wrote:
> > 
> > >Hi everybody, I am searching a procedure which helps me to estimate the
> > networksize of respondents (count variable).>
> > 
> > You should probably read up on count regression and its various
> > relatives, e.g. truncated count regression (for your limited range
> > responses), as well as exposure/offset terms, which can be used to
> > control for rates. The Stata Press book by J. S. Long and J. Freese
> > (2005), Regression Models for Categorical and Limited Dependent
> > Variables with Stata, 2nd Edition, is a good place to look. 
> > 
> > Ordinal regression models aren't really appropriate for counts. 
> > 
> > JV
> > 
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