Sample size determination for logistic regression: A simulation study
- Publication Type:
- Journal Article
- Citation:
- Communications in Statistics: Simulation and Computation, 2015, 44 (2), pp. 360 - 373
- Issue Date:
- 2015-01-01
Open Access
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is open access.
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. © 2015 Taylor & Francis Group, LLC.
Please use this identifier to cite or link to this item: