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Comparison of empirical study power in sample size calculation approaches for cluster randomized trials with varying cluster sizes andndash; a continuous outcome endpoint

Abstract:

Background: Cluster randomized trials (CRTs) are a popular trial design. In most CRTs, researchers assume equal cluster sizes when calculating sample sizes. When clusters vary, assuming equal sized clusters may result in low study power. There are two common approaches to sample size calculations for varying cluster sizes. One approach uses a harmonic mean (m̄H) of cluster sizes, while the other incorporates the squared coefficient of variation (cv2) of cluster sizes. We performed simulations...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.2147/OAMS.S96508

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Institution:
University of Oxford
Department:
Oxford, MSD, NDM, Tropical Medicine
Role:
Author
Publisher:
Dove Medical Press Publisher's website
Journal:
Open Access Medical Statistics Journal website
Volume:
6
Pages:
1-6
Publication date:
2016-02-25
Acceptance date:
2016-01-13
DOI:
EISSN:
2230-3251
URN:
uuid:623e88f8-c6fa-453d-a410-2c83b8365772
Source identifiers:
619240
Local pid:
pubs:619240
Keywords:

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