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Sample Size Determination for Logistic Regression: A Simulation Study
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| Organization: | University of Technology Sydney |
| Department: | School of Mathematical Sciences |
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| Communications in Statistics—Simulation and Computation |
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Likelihood ratio test; Mathematica; Power; Score test; Wald test
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This article considers the different methods for determining sample sizes for Wald, likelihood ratio, and score tests for logistic regression. We review some recent methods, report the results of a simulation study comparing each of the methods for each of the three types of test, and provide Mathematica code for calculating sample size. We consider a variety of covariate distributions, and find that a calculation method based on a first order expansion of the likelihood ratio test statistic performs consistently well in achieving a target level of power for each of the three types of test.
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