Sample size determination for logistic regression: A simulation study

被引:0
作者
School of Mathematical Sciences, University of Technology Sydney, Broadway, Australia [1 ]
机构
来源
Commun. Stat. Simul. Comput. | / 2卷 / 360-373期
关键词
Statistical tests - Sampling;
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中图分类号
O212 [数理统计];
学科分类号
摘要
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. © Taylor & Francis Group, LLC.
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