Richard is Professor of Medical Statistics at the Centre for Clinical Trials & Methodology, and co-leads the statistics team at the Pragmatic Clinical Trials Unit. His research programme is at the forefront of the design of randomised evaluations of health technologies, including stepped wedge trials and other novel approaches to clustered evaluations. His work has been published in the BMJ, the International Journal of Epidemiology, and the Journal of Clinical Epidemiology, as well as Statistics in Medicine, and Statistical Methods in Medical Research. He has given invited talks at international conferences of the International Society for Clinical Biostatistics, Royal Statistical Society, and Society for Clinical Trials, and he is part of an international network of researchers helping to drive innovation in cluster randomised clinical trial methods. In 2019 he was awarded a Senior Fellowship by The Healthcare Improvement Studies (THIS) Institute, UK, to develop and promote improvement in clinical trial design as a key component of healthcare improvement science.
Richard did his PhD on statistical pattern recognition at the University of Cambridge, and has worked as a biostatistician at Cambridge University, King’s College London, Imperial College London, and (for a short spell) with the Government Statistical Service in the Department of Health. He joined Queen Mary University of London in 2010, where he was introduced to the world of clinical trials, which have been at the centre of his research and professional practice ever since.
Rcihard's current research interests centre on stepped wedge and other cluster randomised trial designs. The selected articles listed in the ‘Publications’ tab may give more of a flavour. He was awarded a Senior Fellowship from The Healthcare Improvement Studies (THIS) Institute, which has allowed him time and space to write about the ideas that interest him, to work with applied healthcare researchers to implement new methods, and to learn from a dynamic and multidisciplinary academic community.
Richard blogs about his methods research at http://www.steppedwedgehog.blog (note that this website is an external site with no affiliation to QMUL, and does not reflect the views of the College).
- Senior Statistician at the Pragmatic Clinical Trials Unit
- Joint lead of the QMUL arm of the Research Design Service London (with Steph Taylor)
- Supervisory team for the Wellcome-funded PhD programme ‘Health Data in Practice' which will see its first intake of students in October 2020.
- Senior Fellow with The Healthcare Improvement Studies (THIS) Institute (note that this website is an external site with no affiliation to QMUL, and does not reflect the views of the College).
Hooper R, Eldridge S. Cutting edge or blunt instrument: how to decide if a stepped wedge design is right for you. BMJ Quality Safety 2021;30:245-250
Wilson D, Hooper R, Brown J, Farrin A, Walwyn R. Efficient and flexible simulation-based sample size determination for clinical trials with multiple design parameters. Stat Med Methodol Res 2020;DOI:10.1177/0962280220975790
Hooper R, Kasza J, Forbes A. The hunt for efficient, incomplete designs for stepped wedge trials with continuous recruitment and continuous outcome measures. BMC Med Res Methodol 2020;20:279
Hemming K, Kasza J, Hooper R, Forbes A, Taljaard M. A tutorial on sample size calculation for multiple-period cluster randomized parallel, cross-over and stepped-wedge trials using the Shiny CRT Calculator. Int J Epidemiol 2020;49:979-995
Kasza J, Hooper R, Copas A, Forbes AB. Sample size and power calculations for open cohort longitudinal cluster randomized trials. Stat Med 2020; 2020;39:1871–1883
Copas AJ, Hooper R. Cluster randomised trials with different numbers of measurements at baseline and endline: Sample size and optimal allocation. Clin Trials 2020;17:69-76
Hooper R, Copas A. Stepped wedge trials with continuous recruitment require new ways of thinking. J Clin Epidemiol 2019;116:161-166
Hooper R, Knowles C. Improving the efficiency of individually randomized clinical trials by staggering the introduction of the intervention. Stat Med 2019;38:44-52
Kasza J, Hemming K, Hooper R, Matthews JNS, Forbes AB. Impact of non-uniform correlation structure on sample size and power in multiple-period cluster randomised trials. Stat Methods Med Res 2019;28:703-716
Hemming K, Taljaard M, McKenzie J, Hooper R, Copas A, et al. Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration. BMJ 2018;363:k1614
Hooper R, Forbes A, Hemming K, Takeda A, Beresford L. Analysis of cluster randomised trials with an assessment of outcome at baseline. BMJ 2018;360:k1121
Hooper R, Teerenstra S, de Hoop E, Eldridge E. Sample size calculation for stepped wedge and other longitudinal cluster randomised trials. Stat Med 2016;35:4718-4728
Hooper R, Bourke L. Cluster randomised trials with repeated cross sections: alternatives to parallel group designs. BMJ 2015;350:h2925
Hooper R, Bourke L. The dog-leg: an alternative to a cross-over design for pragmatic clinical trials in relatively stable populations. Int J Epidemiol 2014;43(3):930-936
Hooper R. Versatile sample size calculation using simulation. Stata Journal 2013;13:21-38
View all Richard Hooper's Research Publications at: http://www.researchpublications.qmul.ac.uk/publications/staff/26306.html
ORCID ID: 0000-0002-1063-0917