Sample Size Determination for Logistic Regression: A Simulation Study |
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Authors: | Stephen Bush |
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Institution: | School of Mathematical Sciences, University of Technology Sydney, Broadway, Australia |
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Abstract: | 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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Keywords: | Likelihood ratio test Mathematica Power Score test Wald test |
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