The stability of several measures of association in small contingency tables


Journal Article

Measures of association are often used to describe the relationship between row and column variables in two-dimensional contingency tables. It is not uncommon in biomedical research to categorize continuous variables to obtain a two-dimensional table. In these situations it is desirable that the measure of association not be too sensitive to changes in the number of categories or to the choice of cutpoints. To accomplish this objective we attempt to find a measure of association that closely approximates the corresponding measure of association for the underlying distribution. Measures that are close to the underlying measure for various table sizes and cutpoints are called stable meesures. © 1990, Taylor & Francis Group, LLC. All rights reserved.

Full Text

Cited Authors

  • O'Gorman, TW; Woolson, RF

Published Date

  • January 1, 1990

Published In

Volume / Issue

  • 19 / 3

Start / End Page

  • 1141 - 1155

Electronic International Standard Serial Number (EISSN)

  • 1532-415X

International Standard Serial Number (ISSN)

  • 0361-0926

Digital Object Identifier (DOI)

  • 10.1080/03610929008830252

Citation Source

  • Scopus