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A Modified Poisson Regression Approach to Prospective Studies with Binary Data

American Journal of Epidemiology · 2004 · Vol. 159(7) · pp. 702–706
Guangyong Zou

Abstract

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.

Statistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesStatistical Methods and InferencePoisson regressionStatisticsPoisson distributionMathematicsRegression analysisBinary dataRegressionVariance (accounting)Linear regressionBinary number

MeSH terms

Clinical Trials as TopicData Interpretation, StatisticalHumansProspective StudiesRegression AnalysisRiskReproducibility of ResultsPoisson Distribution
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