Sample size tables for logistic regression

Authors

  • F. Y. Hsieh

    1. Department of Epidemiology and Social Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, U.S.A.
    Current affiliation:
    1. Anaquest, BOC Health Care, 100 Mountain Avenue, Murray Hill, NJ 07974, U.S.A.
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Abstract

Sample size tables are presented for epidemiologic studies which extend the use of Whittemore's formula. The tables are easy to use for both simple and multiple logistic regressions. Monte Carlo simulations are performed which show three important results. Firstly, the sample size tables are suitable for studies with either high or low event proportions. Secondly, although the tables can be inaccurate for risk factors having double exponential distributions, they are reasonably adequate for normal distributions and exponential distributions. Finally, the power of a study varies both with the number of events and the number of individuals at risk.

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