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A modified poisson regression approach to prospective studies with binary data.

American Journal of Epidemiology

Risk, Reproducibility of Results, Regression Analysis, Prospective Studies, Poisson Distribution, Humans, Data Interpretation, Statistical, statistics & numerical data, Clinical Trials as Topic

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      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.

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