title: A SAS(®) macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis.
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.
authors.affiliation: Department of Clinical Sciences, Division of Biostatistics, UT Southwestern Medical Center, Dallas, TX 75390-8822, United States. alan.elliott@utsouthwestern.edu
authors.forename: Alan C
authors.initials: AC
authors.lastname: Elliott
authors.forename: Linda S
authors.initials: LS
authors.lastname: Hynan
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D008432:Mathematical Computing; D009010:Monte Carlo Method; D012984:Software; D018709:Statistics, Nonparametric