Application of an adjusted χ2 statistic to site-specific data in observational dental studies

Chul Ahn, Sin Ho Jung, Allan Donner

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Background: When a binary response is observed on teeth from each subject belonging to 2 or more exposure groups, application of the usual Pearson χ2 tests is invalid, since such responses within the same subject are not independent. Consequently, special statistical methods are needed to control for the correlation among teeth (sites) within the same subject. A simple adjustment to the Pearson χ2 statistic has been proposed for comparing proportions in site-specific data. However, the required assumptions for this statistic have not yet been thoroughly addressed. These assumptions are guaranteed to hold in experimental comparisons, but may be violated in some observational studies. Method: We investigate the conditions under which the adjusted χ2 statistic is valid and examine the performance of the adjusted χ2 statistic when these conditions are violated. Results: Our simulation study shows that the adjusted χ2 statistic generally produces good empirical type I errors under the assumption of a common intracluster correlation coefficient. Even if the intracluster correlations are different, the adjusted statistic performs well when the groups have equal numbers of clusters (subjects). Conclusion: The discussion is illustrated using an observational study of caries on the roots of teeth.

Original languageEnglish (US)
Pages (from-to)79-82
Number of pages4
JournalJournal of Clinical Periodontology
Volume29
Issue number1
DOIs
StatePublished - Jan 1 2002

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Keywords

  • Adjusted χ statistic
  • Correlated data
  • Observational study

ASJC Scopus subject areas

  • Periodontics

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