Nonparametric approaches to the analysis of crossover studies

Mary E. Putt, Vernon M. Chinchilli

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We illustrate nonparametric, and particularly rank-based analyses of crossover studies, designs in which each subject receives more than one treatment over time. Principles involved in using the Wilcoxon rank sum test in the simple two-period, two-treatment crossover are described through theory and example. We then extend the ideas to two-treatment designs with more than two periods and to three-treatment, three-period designs. When more than one nonparametric approach is available, we consider the issue of statistical power in choosing an appropriate test.

Original languageEnglish (US)
Pages (from-to)712-719
Number of pages8
JournalStatistical Science
Volume19
Issue number4
DOIs
StatePublished - Nov 2004

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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