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Preventing Bias in Cluster Randomised Trials
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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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“We extracted the number of eligibility criteria at the participant level as more eligibility criteria increases the likelihood of differential inclusion [14].”
From Cluster randomized trials of individual-level interventions were at high risk of bias (2021) · cites this paper as [14]
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“Knowledge of treatment condition at the time of patient recruitment is known to be a risk factor for differential identification and recruitment of participants across treatment arms [1,14,16,37], unless recruitment and identification are conducted by someone blind to the treatment allocation or the inclusion criteria are broad [2,11,14].”
From Cluster randomized trials of individual-level interventions were at high risk of bias (2021) · cites this paper as [14]
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Metadata
- Authors
- Giraudeau, B., & Ravaud, P.
- Affiliations
- Université de Tours (FR)
- Inserm (FR)
- Corresponding author
- Giraudeau, Bruno
- 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
- 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
- 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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