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Confidence interval construction for effect measures arising from cluster randomization trials
1Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada.
Journal of Clinical Epidemiology
|February 1, 1993
Abstract:
Methods of confidence interval construction are provided for summary measures of treatment effect arising from designs randomizing clusters to one of two treatment groups. Three basic designs are considered for the case of continuous and dichotomous variables: completely randomized, pair-matched and stratified.