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


From   Ronán Conroy <rconroy@rcsi.ie>
To   "statalist hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
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 roger.webb@man.ac.uk 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

http://www.biomedcentral.com/1471-2288/3/21

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 (rconroy@rcsi.ie)
Lecturer in Biostatistics
Royal College of Surgeons
Dublin 2, Ireland
+353 1 402 2431 (fax 2764)

--------------------
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http://www.nofreelunch.org/

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