Cited by 150Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsAdvanced Causal Inference Techniques

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Preventing Bias in Cluster Randomised Trials

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Giraudeau, Bruno, Ravaud, Philippe·2009·PLoS Medicine

DOI 10.1371/journal.pmed.1000065PMC PMC2668175

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Abstract

Bruno Giraudeau and Philippe Ravaud discuss the difficulties in preventing selection bias and applying intention-to-treat analysis in cluster randomized trials, and propose some solutions.

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Figure 1 Recruitment issues in cluster randomised trials.CC BY · PubMed Central

Figure 2 Follow-up issues in cluster randomised trials.CC BY · PubMed Central

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“Describe how missing data will be managed at both the individual level and the cluster level [16].”
Background
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Authors: Giraudeau, B., & Ravaud, P.
Affiliations: Université de Tours (FR)
Inserm (FR)
Corresponding author: Giraudeau, Bruno
ORCID: Giraudeau, Bruno
Ravaud, Philippe
Venue: PLoS Medicine
Publisher: Public Library of Science (PLoS)
Published: 2009-05-05
Volume: 6
Issue: 5
Pages: e1000065
ISSN: 1549-1277 (ISSN-L)
1549-1676
DOI: 10.1371/journal.pmed.1000065
PMC: PMC2668175
OpenAlex: W2065087661
Cited by: 150
References: 38
Citations by year: 2026: 2 · 2025: 7 · 2024: 10 · 2023: 7 · 2022: 10 · 2021: 13 · 2020: 14 · 2019: 10 · 2018: 8 · 2017: 5 · 2016: 10 · 2015: 10 · 2014: 11 · 2013: 10 · 2012: 9
FWCI: 6.38
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (unspecified)
Locations: PLoS Medicine (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
HAL (submittedVersion, other-oa)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords: bias prevention, trial design, confounding, randomization
MeSH terms: Humans, Bias, Randomized Controlled Trials as Topic, Practice Guidelines as Topic

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Preventing Bias in Cluster Randomised Trials

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