articleTop 1% cited
A Modified Poisson Regression Approach to Prospective Studies with Binary Data
American Journal of Epidemiology · 2004 · Vol. 159(7) · pp. 702–706
Guangyong Zou✉(Robarts Clinical Trials)
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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9,254
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References
What's the Relative Risk?
JAMA · 1998 · 4,068 citations
Longitudinal data analysis using generalized linear models
Biometrika · 1986 · 17,961 citations
Estimating the Relative Risk in Cohort Studies and Clinical Trials of Common Outcomes
American Journal of Epidemiology · 2003 · 2,088 citations
The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus
New England Journal of Medicine · 1993 · 24,605 citations
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