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/