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Developments in cluster randomized trials and Statistics in Medicine
Author(s) -
Campbell M. J.,
Donner A.,
Klar N.
Publication year - 2006
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2731
Subject(s) - sample size determination , medical statistics , statistics , cluster (spacecraft) , cluster analysis , randomized controlled trial , computer science , population , psychological intervention , research design , medicine , econometrics , data science , mathematics , surgery , environmental health , psychiatry , programming language
The design and analysis of cluster randomized trials has been a recurrent theme in Statistics in Medicine since the early volumes. In celebration of 25 years of Statistics in Medicine , this paper reviews recent developments, particularly those that featured in the journal. Issues in design such as sample size calculations, matched paired designs, cohort versus cross‐sectional designs, and practical design problems are covered. Developments in analysis include modification of robust methods to cope with small numbers of clusters, generalized estimation equations, population averaged and cluster specific models. Finally, issues on presenting data, some other clustering issues and the general problem of evaluating complex interventions are briefly mentioned. Copyright © 2006 John Wiley & Sons, Ltd.