Confidence interval construction for effect measures arising from cluster randomization trials

J Clin Epidemiol. 1993 Feb;46(2):123-31. doi: 10.1016/0895-4356(93)90050-b.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cluster Analysis*
  • Confidence Intervals*
  • Female
  • Humans
  • Hypertension / mortality
  • Hypertension / therapy
  • Middle Aged
  • Odds Ratio
  • Randomized Controlled Trials as Topic / methods*
  • Research Design*
  • Treatment Outcome*