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  Advancing knowledge in stepped-wedge cluster randomised controlled trials: design and analytical issues


   Department of Applied Health Sciences

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Dr K Hemming Prof J Deeks  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

Birmingham University Studentship

Advancing knowledge in stepped-wedge cluster randomised controlled trials: design and analytical issues

Lead Supervisor: Dr Karla Hemming

Institute: University of Birmingham, School of Health and Population Sciences, College of Medical & Dental Sciences

Funded by: Birmingham University School studentship

Applications are invited to work with Dr Karla Hemming, Dr Richard Riley and Professor Jon Deeks on an exciting PhD studentship within the biostatistics research team.

Cluster randomised trials (CRTs), in which clusters of individuals are randomised to intervention groups, are being used with increasing frequency to evaluate a range of interventions. Not only are the absolute number of CRTs increasing steadily, they are increasingly being used across different settings, including both health care organisations and non-healthcare organisations, and evaluating a range of interventions some of which target the entire cluster and others of which target the individual. The stepped-wedge design, is a modification to the conventional CRT, in which all clusters initiate as control clusters, with sequential roll-out of the intervention at various points in time, so that by the end of the study all clusters have crossed over to become intervention clusters.

Stepped-wedge designs have many features which appeal to commissioners and providers of healthcare, and have great potential to allow robust evaluation of services (or other interventions), which without recourse to this design, would most likely not be subject to any randomised evaluation. The number of stepped-wedge designs being implemented in practice has increased over recent years and it is highly likely that this trend will continue. Indeed, locally in the School of Health and Population Sciences at the University of Birmingham, at least three studies involving the stepped-wedge design are in progress. However, despite the appeal of these studies and the move towards increased uptake of these designs, coupled with the need to ensure effective (and pragmatic) collaboration between academia and with local providers (i.e. the NHS), there is little research on both the design and analytical issues which are specific to these types of trials.

Project Objectives

1. To undertake an empirical review of the quality of reporting and accuracy of implementation of stepped-wedge trials, based on studies already identified by systematic reviews of stepped wedge studies.
2. Identify issues surrounding concealment of allocation and biased recruitment in stepped wedge trials using a series of case studies.
3. Investigate analytical features of stepped-wedge designs, for example looking at the impact of intra-cluster correlations, imbalanced designs and optimal designs.

Person Specification
We’re looking for a highly motivated person with a passion for statistics research who either holds or realistically expects to obtain at least an Upper Second Class Honours Degree in a relevant subject.

How to apply
Enquiries or applications including a CV, names and addresses of two referees and a covering letter should be sent to, Karla Hemming University of Birmingham, Edgbaston, Birmingham B15 2TT or email [Email Address Removed]

The closing date is 11 July 2012

Funding Notes

This position is fully funded for university fees and a stipend at standard rate of £13,590 (for an October 2012 start)

Open Days


Project supervisors

Career overview

Professor Karla Hemming is a Professor of Biostatistics in the Department of Applied Health Sciences at the University of Birmingham, UK. She has a PhD and her research interests encompass the design of cluster and stepped-wedge trials aimed at maximising statistical efficiency while minimising bias. Additionally, she focuses on modelling time and treatment effect heterogeneity in longitudinal cluster trials and the ethical considerations related to pragmatic trial designs, including ethical oversight and consent processes. Professor Hemming has recently led the CONSORT extension for stepped-wedge cluster randomised trials. She supervises PhD students on various aspects of cluster randomised trial methodology and the interpretation of statistical findings in randomised controlled trials (RCTs), covering both quantitative and qualitative projects.


Research interests

Professor Karla Hemming''s research interests focus on the design of cluster and stepped-wedge trials, aiming to maximise statistical efficiency while minimising bias. She explores the modelling of time and treatment effect heterogeneity in longitudinal cluster trials and addresses ethical issues related to these pragmatic trial designs, including ethical oversight and consent. Recently, she led the CONSORT extension for the stepped-wedge cluster randomised trial. Professor Hemming supervises PhD students in the methodology of cluster randomised trials and the interpretation of statistical findings in randomised controlled trials (RCTs), covering both quantitative and qualitative projects.

View Professor Karla Hemming PhD's profile 
Career overview

Professor Jon Deeks qualified with a BSc (Hons) in Mathematics from the University of Southampton in 1988, where he also completed an MSc in Statistics with Applications in Medicine, awarded with distinction in 1989. He began his career as a Lecturer in Medical Statistics at the London Hospital Medical College, during which he supported medical research projects and developed an interest in Evidence Appraisal and Synthesis. In 1994, he moved to the NHS Centre for Reviews and Dissemination at the University of York, where he authored their first methodological guidance on Methods for Systematic Reviews. In 1995, he joined Professor Doug Altman in Oxford to establish the Centre for Statistics in Medicine, collaborating on numerous healthcare evaluation studies and pursuing methodological research in systematic reviews and meta-analysis. He played a significant role in the Cochrane Collaboration, including specifying the RevMan statistical software and contributing to the Collaboration’s Handbook, serving on the Steering Group from 2002 to 2008. During his time in Oxford, he organised four International Symposia on Methodology for Systematic Reviews and developed training programmes in evidence synthesis methods. Professor Deeks'' major research focus is on the evaluation of medical tests and biomarkers, a field he began developing through collaborations in Oxford and further during a secondment to the Screening and Test Evaluation Program at the University of Sydney in 2003. In 2004, he received an NHS Senior Research Fellowship in Evidence Synthesis, which allowed him to concentrate on meta-analysis methods for diagnostic test research, leading to the introduction of systematic reviews of Diagnostic Test Accuracy into the Cochrane Library. He was awarded a PhD by the University of Amsterdam in 2008, based on a thesis of publications related to evidence appraisal and synthesis. Since joining the University of Birmingham in 2006 as Professor of Biostatistics, he has established a research team in test evaluation, supported by grants from NIHR and MRC, and created a Biostatistics group to coordinate medical statistics teaching across the College. He served as Director of the Birmingham Clinical Trials Unit from 2012 to 2016 and received the University of Birmingham Joseph Chamberlain award for Academic Advancement in 2014 for his leadership in the Cochrane Collaboration’s test evaluation work. Professor Deeks has published over 400 papers, including primary studies, systematic reviews, and methodological papers, making significant contributions to the field of biostatistics and diagnostic test evaluation.


Research interests

Professor Jon Deeks'' research focuses on the evaluation of medical tests and biomarkers, systematic review methodology, and non-randomised evaluations of healthcare interventions. He leads the NIHR Birmingham BRC theme of Data, Decision making and Diagnostic Tests and has published over 400 papers, including primary studies, systematic reviews, and methodological papers related to test evaluation. His work includes evaluating various diagnostic tests such as in vitro diagnostics, imaging tests, and physiological tests, contributing to changes in diagnostic practices for conditions like tuberculosis, prostate cancer, and congenital heart disease. He is also involved in developing methods for systematic reviews of diagnostic test accuracy and has co-authored numerous systematic reviews across diverse fields, focusing on the synthesis of evidence evaluating medical tests.

View Professor Jon Deeks's profile