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 <[email protected]>
> An: [email protected]
> 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" <[email protected]>
> To: [email protected]
> 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" <[email protected]>
> > An: [email protected]
> > 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
> >
> > *
> > * For searches and help try:
> > * http://www.stata.com/support/faqs/res/findit.html
> > * http://www.stata.com/support/statalist/faq
> > * http://www.ats.ucla.edu/stat/stata/
>
> --
> _________________________________________________________
>
> Sebastian Sattler
> Voltmannstra�e 156
>
> 33613 Bielefeld
>
>
> Mobil: 0174/ 9784307
>
> Mail: [email protected]
> _________________________________________________________
>
>
>
> Ist Ihr Browser Vista-kompatibel? Jetzt die neuesten
> Browser-Versionen downloaden: http://www.gmx.net/de/go/browser
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
--
Psssst! Schon vom neuen GMX MultiMessenger geh�rt?
Der kann`s mit allen: http://www.gmx.net/de/go/multimessenger
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
