Analysis of a trial randomised in clusters: Table 1
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A cluster randomised study is one where a group of subjects are randomised to the same treatment together—for example, when women in some districts are offered breast cancer screening and compared with women in other districts, or when the patients of general practitioners who have been given special training are compared with the patients of those who have not.1 Several techniques exist for analysing the data from such studies, but the essence of them is that the experimental unit (district or general practitioner) is the unit of analysis.2 A simple approach is to construct a summary statistic for each cluster and then analyse these summary values. The idea is similar to the analysis of repeated measurements on the same subject, where we construct a single summary …
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Cluster randomisation can overestimate treatment effect significance and inflate the nominal type I error rate unless clustering is properly adjusted for.
“Cluster randomisation, for example by clinician or practice, can lead to overestimation of the significance of a treatment effect, resulting in an inflation of the nominal type I error rate, unless appropriate adjustment is made for the effects of clustering (Donner 2002;Kerry 1998).”
From Interventions for self-harm in children and adolescents (2021) · cites this paper as Kerry 1998
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Analysis of serial measurements in medical research.
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Merrifield, A., & Smith, W. H. (2012) · New South Wales Public Health Bulletin · doi:10.1071/nb11017 · Cited by 12 · see citing works
A recruitment strategy for cluster randomized trials in secondary care settings
Walker, A. E., Campbell, M., Grimshaw, J., & the Tempest group (2000) · Journal of Evaluation in Clinical Practice · doi:10.1046/j.1365-2753.2000.00235.x · Cited by 12 · see citing works
- Authors
- Kerry, S. M., & Bland, J. M.
- Affiliations
- St George's, University of London (GB)
- ORCID
- Kerry, Sally M
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1998-01-03
- Volume
- 316
- Issue
- 7124
- Pages
- 54
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC2665333
- OpenAlex
- W1977759528
- Cited by
- 153
- References
- 4
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 12 · 2019: 2 · 2018: 2 · 2017: 4 · 2016: 7 · 2015: 4 · 2014: 4 · 2013: 9 · 2012: 9
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
- Locations
- BMJ (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- St George's Online Research Archive (St George's University of London) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- clustering, summary statistics, experimental units, repeated measures, general practitioners, breast cancer screening
- MeSH terms
- Cluster Analysis, Randomized Controlled Trials as Topic
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