2006
DOI: 10.1002/sim.2731
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Developments in cluster randomized trials and Statistics in Medicine

Abstract: SUMMARYThe 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 … Show more

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Cited by 232 publications
(198 citation statements)
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“…We conducted a single-blind, stratified, cluster RCT 8,9 at 4 medical schools to compare 2 interventions with no intervention. Before the study began, randomization was performed by using a random-number generator, and then study arm assignment for each block was disseminated to sites.…”
Section: Methodsmentioning
confidence: 99%
“…We conducted a single-blind, stratified, cluster RCT 8,9 at 4 medical schools to compare 2 interventions with no intervention. Before the study began, randomization was performed by using a random-number generator, and then study arm assignment for each block was disseminated to sites.…”
Section: Methodsmentioning
confidence: 99%
“…This procedure measures the cumulative effect of the treatment and has the maximum number of participants. To adjust for a potential clustering effect we used robust generalised estimating equations 41 with exchangeable correlation structure. For binary outcomes we used a logit link with a binomial distribution for the outcome, and for continuous outcomes we used an identity link with a normal distribution.…”
Section: Discussionmentioning
confidence: 99%
“…When the number of observations differs from cluster to cluster, a t test in which the cluster means are weighted for cluster size is recommended (see, e.g., Campbell, Donner, & Klar, 2007). 4 This analysis is easy to compute and report, and it perfectly accounts for violations of the independence assumption: The Type-I error rate is at its nominal level (i.e., 5%).…”
Section: (Weighted) T Tests On Cluster Meansmentioning
confidence: 99%