Billot, Laurent;
Copas, Andrew;
Leyrat, Clemence;
Forbes, Andrew;
Turner, Elizabeth L;
(2024)
How should a cluster randomized trial be analyzed?
Journal of Epidemiology and Population Health
, 72
(1)
, Article 202196. 10.1016/j.jeph.2024.202196.
Preview |
Text
EMS198640.pdf - Accepted Version Download (603kB) | Preview |
Abstract
In cluster randomized trials, individuals from the same cluster tend to have more similar outcomes than individuals from different clusters. This correlation must be taken into account in the analysis of every cluster trial to avoid incorrect inferences. In this paper, we describe the principles guiding the analysis of cluster trials including how to correctly account for intra-cluster correlations as well as how to analyze more advanced designs such as stepped-wedge and cluster cross-over trials. We then describe how to handle specific issues such as small sample sizes and missing data.
| Type: | Article |
|---|---|
| Title: | How should a cluster randomized trial be analyzed? |
| Location: | France |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.jeph.2024.202196 |
| Publisher version: | http://dx.doi.org/10.1016/j.jeph.2024.202196 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Cluster randomized trials; Stepped-wedge trials; Cluster crossover trials; Analysis |
| 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 |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10202656 |
Archive Staff Only
 |
View Item |
