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Re: st: -binreg- (was: ORs for non-rare outcomes)


From   Jose Maria <[email protected]>
To   [email protected]
Subject   Re: st: -binreg- (was: ORs for non-rare outcomes)
Date   Wed, 14 Apr 2004 21:55:25 -0300

roger webb escreveu:

I've found that the problems encountered in trying to fit log-binomial models (using either 'binreg' or 'glm link(log) family(binomial)') can be overcome by using the 'modified' Poisson regression approach proposed by Zou (Am J Epidemiol 2004; 159: 702-706). This entails fitting a Poisson model with a robust variance estimator, i.e.:

poisson y x1 x2..., robust irr

This produces the same Risk Ratio (and SE) as the binomial model, without failing to converge with covariate adjustment.

Roger Webb
University of Manchester (UK)

Dear Roger:
Thank you. I will try, using the data set I mentioned in the  message to Ronan.
Jose Maria

Jose Maria Pacheco de Souza, Professor Titular
Departamento de Epidemiologia
Faculdade de Saude Publica/Universidade de Sao Paulo
Av. Dr. Arnaldo, 715	cep 01246-904
Sao Paulo	Brasil
fones (11)3082-3886  (11)3714-2403  (11)3768-8612
fax   (11)3082-2920  (11)3714-2403
www.fsp.usp.br/~jmpsouza
[email protected]




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