A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis

被引：240

作者：

Elliott, Alan C. ^{[1
]}

Hynan, Linda S. ^{[1
]}

机构：

[1] Univ Texas SW Med Ctr Dallas, Dept Clin Sci, Div Biostat, Dallas, TX 75390 USA

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2011年 / 102卷 / 01期

关键词：

Kruskal-Wallis; Dunn's test; Nonparametric; Multiple comparison; SAS; Nemenyi test;

D O I：

10.1016/j.cmpb.2010.11.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The Kruskal-Wallis (KW) nonparametric analysis of variance is often used instead of a standard one-way ANOVA when data are from a suspected non-normal population. The KW omnibus procedure tests for some differences between groups, but provides no specific post hoc pair wise comparisons. This paper provides a SAS (R) macro implementation of a multiple comparison test based on significant Kruskal-Wallis results from the SAS NPAR1WAY procedure. The implementation is designed for up to 20 groups at a user-specified alpha significance level. A Monte-Carlo simulation compared this nonparametric procedure to commonly used parametric multiple comparison tests. (C) 2010 Elsevier Ireland Ltd. All rights reserved.

引用

页码：75 / 80

页数：6

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