Drawbacks to noninteger scoring for ordered categorical data

Stephen Senn*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

14 Citations (Scopus)

Abstract

A proposal to improve trend tests by using noninteger scores is examined. It is concluded that despite improved power such tests are usually inferior to the simpler integer scored approach.

Original languageEnglish
Pages (from-to)296-298
Number of pages3
JournalBiometrics
Volume63
Issue number1
DOIs
Publication statusPublished - Mar 2007
Externally publishedYes

Keywords

  • Discrete data
  • Fisher's exact test
  • Power
  • Randomization test
  • Trend test

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