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

J. D. Barros, Aluísio; Naomi Hirakata, Vânia

doi:10.1186/1471-2288-3-21

Public

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

Published in BMC Medical Research Methodology • Oct 20, 2003

Authors:

Aluísio J. D. Barros

Vânia Naomi Hirakata

Abstract

BACKGROUND: Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies. Also, controlling for confounding is not equival...

Subject

Poisson regression

Statistics

Logistic regression

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