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

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

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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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