Resources to support good quality research in cluster randomised trials and stepped wedge designs

This website is designed to support those conducting cluster randomised trials and stepped wedge designs and those carrying out methodological research on these designs. Our aim is to promote good quality research and so we encourage the use of existing guidelines and methods.

The idea for the website emerged from a meeting on current developments in cluster randomised trials and stepped wedge designs held in November 2016. The website is maintained by Claire Chan, Sandra Eldridge, Karla Hemming, Clémence Leyrat, James Martin, Mélanie Prague, Jennifer Thompson and Liz Turner. More details are on our who we are page. Special thanks to the following for helpful comments during development and/or reviewing the site before it went live: Dr. Agnès Caille (University of Tours), Prof. Bruno Giraudeau (University of Tours), Prof. Richard Hooper (Queen Mary University of London), Sally Kerry (Queen Mary University of London), and Dr. Michael Grayling (University of Cambridge).

We aim to keep the site updated with the latest publications, software, discussions and events related to clustered designs. Visit our resources for CRTs and stepped wedge CRTs and noticeboard pages to find out more. Please note that we cannot claim this to be an exhaustive list of resources.

The initial design for the site was funded by NIHR through Sandra Eldridge’s NIHR Senior Investigator Award.

We want this website to be useful for all those working on cluster randomised trials. Please contact us with feedback, items for our noticeboard, or suggestions for resources to add.

Latest posts
New publication on using GEE for SW-CRTs

05 November 2020 This article explores how to use GEE in SW-CRTs with a small number of clusters. We find that GEE provide a robust method of analysis and some small sample corrections work well with as few as 12 clusters. Follow this link to read the paper

New Stata command for CRT cluster-level analysis

05 November 2020 Planning to use a cluster-level analysis for your CRT? Consider using the new clan Stata command recent released on SSC. The command calculates intervention effect estimates adjusting for individual and cluster...