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Assessing potential sources of clustering in individually randomised trials

Kahan, BC; Morris, TP; (2013) Assessing potential sources of clustering in individually randomised trials. BMC Medical Research Methodology , 13 , Article 58. 10.1186/1471-2288-13-58. Green open access

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Abstract

Recent reviews have shown that while clustering is extremely common in individually randomised trials (for example, clustering within centre, therapist, or surgeon), it is rarely accounted for in the trial analysis. Our aim is to develop a general framework for assessing whether potential sources of clustering must be accounted for in the trial analysis to obtain valid type I error rates (non-ignorable clustering), with a particular focus on individually randomised trials.

Type: Article
Title: Assessing potential sources of clustering in individually randomised trials
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/1471-2288-13-58
Publisher version: http://dx.doi.org/10.1186/1471-2288-13-58
Language: English
Additional information: © 2013 Kahan and Morris; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. PMCID: PMC3643875
Keywords: Computer communication networks, computer graphics, humans, meta-analysis as topic
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/1406686
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