--- 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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