Journal
STATISTICS IN MEDICINE
Volume 22, Issue 8, Pages 1235-1254Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.1379
Keywords
cluster randomization; generalized estimating equations; logistic models; power
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While the mixed model approach to cluster randomization trials is relatively well developed, there has been less attention given to the design and analysis of population-averaged models for randomized and non-randomized cluster trials. We provide novel implementations of familiar methods to meet these needs. A design strategy that selects matching control communities based upon propensity scores, a statistical analysis plan for dichotomous outcomes based upon generalized estimating equations (GEE) with a design-based working correlation matrix, and new sample size formulae are applied to a large non-randomized study to reduce underage drinking. The statistical power calculations, based upon Wald tests for summary statistics, are special cases of a general power method for GEE. Copyright (C) 2003 John Wiley Sons, Ltd.
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