Testing whether treatment is 'better' than control with ordered categorical data: An evaluation of new methodology

Arthur Cohen, Harold B. Sackrowitz, Marian Sackrowitz

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

A new test procedure is presented for the problem of testing whether a treatment is better than a control when there is ordered categorical data. The new test is based on the methodology developed for general 'one-sided' altematives by Cohen and Sackrowitz. An evaluation of the test is made by comparing the power and expected p-values of the test with those of the Wilcoxon-Mann-Whitney test in examples. As predicted by the theoretical work by Cohen and Sackrowitz, the new test is seen to be preferable to the Wilcoxon-Mann-Whitney test. Computer programs to assist implementation of the new test are made available. Copyright (C) 2000 John Wiley and Sons, Ltd.

Original languageEnglish (US)
Pages (from-to)2699-2712
Number of pages14
JournalStatistics in Medicine
Volume19
Issue number19
DOIs
StatePublished - Oct 15 2000

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Testing whether treatment is 'better' than control with ordered categorical data: An evaluation of new methodology'. Together they form a unique fingerprint.

Cite this