Journal
STATISTICS IN MEDICINE
Volume 27, Issue 27, Pages 5764-5785Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.3390
Keywords
cluster trials; correlated binary outcomes; generalized estimating equations; intraclass correlation; sandwich estimators
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Funding
- Office of Juvenile Justice and Delinquency Prevention
- U.S. Department of Justice [98-AH-178-0101 (S-1,S-2,S-3,S-4)]
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Bias-corrected covariance estimators are introduced in the context of an estimating equations approach for intracluster correlations among binary outcomes. Simulation study results show that the bias-corrected covariance estimators perform better than uncorrected sandwich estimators in terms of bias and coverage probabilities. Additionally, introduction of a matrix-based bias-correction into the estimating equations considerably improves point and interval estimation for the intracluster correlations. The methods are illustrated using data from a nested cross-sectional cluster trial on reducing underage drinking. Copyright (C) 2008 John Wiley & Sons, Ltd.
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