Hooper, R;
Copas, AJ;
(2021)
Optimal design of cluster randomised trials with continuous recruitment and prospective baseline period.
Clinical Trials
, 18
(2)
pp. 147-157.
10.1177/1740774520976564.
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Abstract
BACKGROUND: Cluster randomised trials, like individually randomised trials, may benefit from a baseline period of data collection. We consider trials in which clusters prospectively recruit or identify participants as a continuous process over a given calendar period, and ask whether and for how long investigators should collect baseline data as part of the trial, in order to maximise precision. METHODS: We show how to calculate and plot the variance of the treatment effect estimator for different lengths of baseline period in a range of scenarios, and offer general advice. RESULTS: In some circumstances it is optimal not to include a baseline, while in others there is an optimal duration for the baseline. All other things being equal, the circumstances where it is preferable not to include a baseline period are those with a smaller recruitment rate, smaller intracluster correlation, greater decay in the intracluster correlation over time, or wider transition period between recruitment under control and intervention conditions. CONCLUSION: The variance of the treatment effect estimator can be calculated numerically, and plotted against the duration of baseline to inform design. It would be of interest to extend these investigations to cluster randomised trial designs with more than two randomised sequences of control and intervention condition, including stepped wedge designs.
Type: | Article |
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Title: | Optimal design of cluster randomised trials with continuous recruitment and prospective baseline period |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/1740774520976564 |
Publisher version: | https://doi.org/10.1177%2F1740774520976564 |
Language: | English |
Additional information: | © 2021 by The Society for Clinical Trials. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | Efficient design, group randomised trials, power, sample size |
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 > Institute for Global Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health > Infection and Population Health |
URI: | https://discovery.ucl.ac.uk/id/eprint/10123635 |
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