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

Alan C. Elliott, Linda S. Hynan

Research output: Contribution to journalArticle

142 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 languageEnglish (US)
Pages (from-to)75-80
Number of pages6
JournalComputer Methods and Programs in Biomedicine
Volume102
Issue number1
DOIs
StatePublished - 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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