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Finite sample adjustments in estimating equations and covariance estimators for intracluster correlations.
- Source :
-
Statistics in medicine [Stat Med] 2008 Nov 29; Vol. 27 (27), pp. 5764-85. - Publication Year :
- 2008
-
Abstract
- 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.<br /> (Copyright (c) 2008 John Wiley & Sons, Ltd.)
- Subjects :
- Adolescent
Age Factors
Alcohol Drinking epidemiology
Alcohol Drinking legislation & jurisprudence
Analysis of Variance
Bias
Clinical Trials as Topic
Confidence Intervals
Follow-Up Studies
Humans
Juvenile Delinquency
Male
Models, Statistical
Time Factors
United States
Young Adult
Adolescent Behavior
Alcohol Drinking prevention & control
Cluster Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 0277-6715
- Volume :
- 27
- Issue :
- 27
- Database :
- MEDLINE
- Journal :
- Statistics in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 18680122
- Full Text :
- https://doi.org/10.1002/sim.3390