期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 102, 期 1, 页码 75-80出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2010.11.002
关键词
Kruskal-Wallis; Dunn's test; Nonparametric; Multiple comparison; SAS; Nemenyi test
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.
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