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.
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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 > 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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