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

Alan C. Elliott; Linda S. Hynan

doi:10.1016/j.cmpb.2010.11.002

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

Alan C. Elliott, Linda S. Hynan

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233 Scopus citations

Abstract

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^® 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.

Original language	English (US)
Pages (from-to)	75-80
Number of pages	6
Journal	Computer Methods and Programs in Biomedicine
Volume	102
Issue number	1
DOIs	https://doi.org/10.1016/j.cmpb.2010.11.002
State	Published - Apr 1 2011

Keywords

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

ASJC Scopus subject areas

Software
Computer Science Applications
Health Informatics

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10.1016/j.cmpb.2010.11.002

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abstract = "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{\textregistered} 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.",

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KW - Nemenyi test

KW - Nonparametric

KW - SAS

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

Abstract

Keywords

ASJC Scopus subject areas

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