Journal Article10.1002/SIM.1301
Issues in the meta-analysis of cluster randomized trials
Allan Donner,Neil Klar +1 more
649
TL;DR: A review and comment on a selected number of issues, including problems of study heterogeneity, difficulties in estimating design effects from individual trials and the choice of statistical methods, including those raised by meta-analyses which include only individually randomized trials.
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Abstract: Meta-analyses involving the synthesis of evidence from cluster randomization trials are being increasingly reported. These analyses raise challenging methodologic issues beyond those raised by meta-analyses which include only individually randomized trials. In this paper we review and comment on a selected number of these issues, including problems of study heterogeneity, difficulties in estimating design effects from individual trials and the choice of statistical methods.
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Citations
The effect of nonrandom selection of clusters in a two stage cluster design
Jason Christopher Parrott
- 01 Jan 2012
TL;DR: Parrott et al. as discussed by the authors compared purposeful selection to random selection by examining the width of the confidence intervals that are returned for each simulation, and found that using purposeful sampling can yield a confidence interval up to nine times greater than that of its random selection.
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Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
Nathan Mantel,William Haenszel +1 more
TL;DR: In this paper, the role and limitations of retrospective investigations of factors possibly associated with the occurrence of a disease are discussed and their relationship to forward-type studies emphasized, and examples of situations in which misleading associations could arise through the use of inappropriate control groups are presented.
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TL;DR: For RCTs to ultimately benefit patients, the published report should be of the highest possible standard and should provide the reader with the ability to make informed judgments regarding the internal and external validity of the trial.
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