期刊
BIOMETRICS
卷 67, 期 1, 页码 213-224出版社
WILEY-BLACKWELL
DOI: 10.1111/j.1541-0420.2010.01407.x
关键词
Kruskal-Wallis test; Location shift alternatives; Power; Sample size
资金
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1106753] Funding Source: National Science Foundation
As the nonparametric generalization of the one-way analysis of variance model, the Kruskal-Wallis test applies when the goal is to test the difference between multiple samples and the underlying population distributions are nonnormal or unknown. Although the Kruskal-Wallis test has been widely used for data analysis, power and sample size methods for this test have been investigated to a much lesser extent. This article proposes new power and sample size calculation methods for the Kruskal-Wallis test based on the pilot study in either a completely nonparametric model or a semiparametric location model. No assumption is made on the shape of the underlying population distributions. Simulation results show that, in terms of sample size calculation for the Kruskal-Wallis test, the proposed methods are more reliable and preferable to some more traditional methods. A mouse peritoneal cavity study is used to demonstrate the application of the methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据