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

Publication ,  Journal Article
Jung, S-H; Kang, S-H; Ahn, C
Published in: J Biopharm Stat
May 2003

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.

Duke Scholars

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

May 2003

Volume

13

Issue

2

Start / End Page

241 / 251

Location

England

Related Subject Headings

  • Statistics & Probability
  • Rats
  • Rabbits
  • Drug Evaluation, Preclinical
  • Cluster Analysis
  • Chi-Square Distribution
  • Animals
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
  • 1115 Pharmacology and Pharmaceutical Sciences
 

Citation

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Jung, S.-H., Kang, S.-H., & Ahn, C. (2003). Chi-square test for R x C contingency tables with clustered data. J Biopharm Stat, 13(2), 241–251. https://doi.org/10.1081/BIP-120019269
Jung, Sin-Ho, Seung-Ho Kang, and Chul Ahn. “Chi-square test for R x C contingency tables with clustered data.J Biopharm Stat 13, no. 2 (May 2003): 241–51. https://doi.org/10.1081/BIP-120019269.
Jung S-H, Kang S-H, Ahn C. Chi-square test for R x C contingency tables with clustered data. J Biopharm Stat. 2003 May;13(2):241–51.
Jung, Sin-Ho, et al. “Chi-square test for R x C contingency tables with clustered data.J Biopharm Stat, vol. 13, no. 2, May 2003, pp. 241–51. Pubmed, doi:10.1081/BIP-120019269.
Jung S-H, Kang S-H, Ahn C. Chi-square test for R x C contingency tables with clustered data. J Biopharm Stat. 2003 May;13(2):241–251.
Journal cover image

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

May 2003

Volume

13

Issue

2

Start / End Page

241 / 251

Location

England

Related Subject Headings

  • Statistics & Probability
  • Rats
  • Rabbits
  • Drug Evaluation, Preclinical
  • Cluster Analysis
  • Chi-Square Distribution
  • Animals
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
  • 1115 Pharmacology and Pharmaceutical Sciences