I've also found some cases where the current binreg fails to converge.
However, in many of those cases the original binreg (from STB50) still
converges.
Leonelo E. Bautista
University of Wisconsin
Medical School
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of roger webb
Sent: Wednesday, April 14, 2004 5:02 AM
To: [email protected]
Subject: Re: st: -binreg- (was: ORs for non-rare outcomes)
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)
On 14 Apr 04, at 11:43, Ron�n Conroy wrote:
on 09/04/2004 02:18, [email protected] at [email protected] wrote:
> Dear people:
> I agree. Anyway, the -binreg- command would be really a good solution,
if it
> would run more often than not run. Indeed, it seems that the odds of
binreg be
> able to run is less than 1.
I agree, but don't be afraid of mixing -binreg- regressions with
-logistic-.
I reviewed a good paper a while back that used -binreg- for about two
thirds
of the models and, where it couldn't find a plausible solution,
-logistic-
for the rest.
Ronan M Conroy ([email protected])
Lecturer in Biostatistics
Royal College of Surgeons
Dublin 2, Ireland
+353 1 402 2431 (fax 2764)
--------------------
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