Chi-square test for R x C contingency tables with clustered data.

Published

Journal Article

In ophthalmologic or dental studies, observations are frequently taken from multiple sites (called units), such as eyes or teeth, of each subject. In this case, observations within each subject (called clusters) may be dependent, although those from different subjects are independent. When a categorical observation is made from each site, application of the usual Pearson chi-square tests is invalid since sites within the same subject tend to be dependent. We propose a modified chi2 statistic for testing no treatment effect in these cases. The proposed methods do not require correct specification of the dependence structure within cluster. Simulation studies are conducted to show the finite-sample performance of the new methods. The proposed methods are applied to real-life data.

Full Text

Duke Authors

Cited Authors

  • Jung, S-H; Kang, S-H; Ahn, C

Published Date

  • May 2003

Published In

Volume / Issue

  • 13 / 2

Start / End Page

  • 241 - 251

PubMed ID

  • 12729392

Pubmed Central ID

  • 12729392

International Standard Serial Number (ISSN)

  • 1054-3406

Digital Object Identifier (DOI)

  • 10.1081/BIP-120019269

Language

  • eng

Conference Location

  • England