title: Confidence interval construction for effect measures arising from cluster randomization trials.
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.
authors.affiliation: Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada.
authors.forename: A
authors.initials: A
authors.lastname: Donner
authors.forename: N
authors.initials: N
authors.lastname: Klar
mesh_terms: D016000:Cluster Analysis; D016001:Confidence Intervals; D005260:Female; D006801:Humans; D006973:Hypertension / Q000401:mortality / Q000628:therapy; D008875:Middle Aged; D016017:Odds Ratio; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D012107:Research Design; D016896:Treatment Outcome