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Minimum number of clusters and comparison of analysis methods for cross sectional stepped wedge cluster randomised trials with binary outcomes: A simulation study

Barker, Daniel; D'Este, Catherine; Campbell, M.J; McElDuff, Patrick


Background: Stepped wedge cluster randomised trials frequently involve a relatively small number of clusters. The most common frameworks used to analyse data from these types of trials are generalised estimating equations and generalised linear mixed models. A topic of much research into these methods has been their application to cluster randomised trial data and, in particular, the number of clusters required to make reasonable inferences about the intervention effect. However, for stepped...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: Trials
DOI: 10.1186/s13063-017-1862-2
Access Rights: Open Access


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