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RE: st: Binomial Regression


From   "Maarten Buis" <M.Buis@fsw.vu.nl>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Binomial Regression
Date   Wed, 8 Aug 2007 19:02:01 +0200

--- Ronan Conroy wrote:
> Interestingly, they sound the same notes of caution around Poisson 
> regression with robust variance estimation as around binomial 
> regression -
>
> (Extracted from the discussion)
> Unlike other recent articles on this subject [references omitted], we 
> are less optimistic about the use of log-linear models, either 
> Poisson or log binomial, to estimate relative risks directly. Log-
> binomial regression, as others and we [31] have found, will not 
> converge routinely. Failure of the log-binomial model to converge 
> should not, as has been suggested, point to Poisson regression as an 
> alternative. Rather, it should signal a fundamental shortcoming of 
> any log-link model-the failure to fit the data and to bound estimates 
> of risk by the interval [0,1].

That nicely mirrors a comment I made yesterday:
http://www.hsph.harvard.edu/cgi-bin/lwgate/STATALIST/archives/statalist.0708/Author/article-216.html

-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology 
Vrije Universiteit Amsterdam 
Boelelaan 1081 
1081 HV Amsterdam 
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434 

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------



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