A comparison of chi‐square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study

Christopher Cox, Christy Chuang

Research output: Contribution to journalArticlepeer-review

Abstract

We study three approaches for the analysis of ordinal pain data. The first is essentially non‐parametric, based on partitioning the goodness‐of‐fit statistic for testing the homogeneity model. The other two involve the modelling of quite different logit functions of the multinomial probabilities. We discuss and compare the characteristics of these three approaches using actual data from an analgesic trial.

Original languageEnglish (US)
Pages (from-to)273-285
Number of pages13
JournalStatistics in Medicine
Volume3
Issue number3
DOIs
StatePublished - Jan 1 1984
Externally publishedYes

Keywords

  • Base comparison logit models
  • Continuation ratios
  • Cumulative odds logit models
  • Ordinal pain data

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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