Journal Article

A Modified Poisson Regression Approach to Prospective Studies with Binary Data

Guangyong Zou

in American Journal of Epidemiology

Published on behalf of Johns Hopkins Bloomberg School of Public Health

Volume 159, issue 7, pages 702-706
Published in print April 2004 | ISSN: 0002-9262
Published online April 2004 | e-ISSN: 1476-6256 | DOI: http://dx.doi.org/10.1093/aje/kwh090
A Modified Poisson Regression Approach to Prospective Studies with Binary Data

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Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets.

Keywords: clinical trials; cohort studies; logistic regression; Mantel-Haenszel; odds ratio; relative risk; Abbreviations: CI, confidence interval; RR, relative risk.

Journal Article.  3106 words. 

Subjects: Public Health and Epidemiology

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