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

From   Ron´┐Żn Conroy <[email protected]>
To   "statalist" <[email protected]>
Subject   Re: st: -binreg- (was: ORs for non-rare outcomes)
Date   Thu, 15 Apr 2004 11:39:18 +0100

on 14/04/2004 12:01, roger webb at [email protected] wrote:

> 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).

And see also     

Alternatives for logistic regression in cross-sectional studies: an
empirical comparison of models that directly estimate the prevalence ratio

The paper from Barros and Hirakata, which includes the Stata code for each
of the models, is free (another cheer for open-access publishing) as against
the 35 bucks that the Am J Epidemiol want in order for us to access research
that the taxpayer has already paid for once...

Ronan M Conroy ([email protected])
Lecturer in Biostatistics
Royal College of Surgeons
Dublin 2, Ireland
+353 1 402 2431 (fax 2764)

Just say no to drug reps

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