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(Summary Points) . Poor design of cluster trials risks bias in selection of participants. . Ideally participants should be identified before the cluster is randomised. . When this is not possible recruitment should be by someone masked to the cluster allocation. . Statistical solutions to selection bias are less satisfactory than design solutions. . Cluster trials need to report cluster sizes to enable the readers to ascertain any differences in recruitment between treatment groups.
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Sandra Eldridge
Queen Mary University of London
Sally Kerry
General / Preventive / Lipids
David Torgerson
University of York
BMJ
Queen Mary University of London
University of York
St George's, University of London
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Eldridge et al. (Fri,) studied this question.
synapsesocial.com/papers/6a152ea515658026c0820124 — DOI: https://doi.org/10.1136/bmj.b4006
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