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st: RE: RES: RE: Poisson Regression

From   "Visintainer, Paul" <>
To   "''" <>
Subject   st: RE: RES: RE: Poisson Regression
Date   Mon, 14 Feb 2011 16:01:31 -0500


The McNutt articles (in my previous reply) suggest that the conversion method can produce biased point estimates and confidence intervals that are too narrow, particularly in multivariable settings.  Note that in his help file on -oddsrisk-, Hilbe uses Poisson regression with the robust standard errors as a comparison for the output of his -oddsrisk- program.


Paul F. Visintainer, PhD
Baystate Medical Center
Springfield, MA 01199

-----Original Message-----
From: [] On Behalf Of José Maria Pacheco de Souza
Sent: Monday, February 14, 2011 2:15 PM
Subject: st: RES: RE: Poisson Regression

Dear Alexandra and Paul:

The user written -oddsrisk- by Joseph M. Hilbe, Arizona State University
----; may be a good approach:

			"Conversion from Logistic Odds Ratios to Risk Ratios

        oddsrisk y(1/0) riskfactor(1/0) varlist [fw=countvariable] <if> <in>

oddsrisk converts logistic regression odds ratios to relative risk ratios by
the formula described below. Source: Zhang and K. Yu, 1998. Frequency
are allowed in order to calculate odds and risk ratios from 2 x 2 tables.
response must be binary, as does the first predictor, which is considered to
the risk factor or exposure..."

José Maria Pacheco de Souza 
Professor Titular, aposentado; Colaborador Sênior
Departamento de Epidemiologia/Faculdade de Saúde Pública/Universidade de São
Av. Dr. Arnaldo, 715 - São Paulo, Capital - cep 01246-904
Fones: FSP= (11)3061-7747  Res= (11)3714-2403; (11)3768-8612


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