The methodology group develops, disseminates and implements new statistical methods to improve the efficiency of clinical trials.
- Dr Svetlana Cherlin
- Dr Michael Grayling
- Prof John Matthews
- Prof Dawn Teare
- Prof James Wason
- Dr Haiyan Zheng
Current areas of research
- Basket and Umbrella trials
- Bayesian methods
- Cluster-randomised and Stepped Wedge trials
- Composite endpoints
- Crossover trial designs
- Early phase adaptive trials
- Multi Arm Multi Stage (MAMS) trials
- Observational study designs
- Pilot and feasibility studies
- Platform trials
- Trials of complex interventions
- Trials of proportionate interventions
- Using historical data
If you are interested in discussing a study that may require novel methods, please contact James Wason.
Selected recent papers
- Candlish, J., Teare, M. D., Cohen, J., & Bywater, T. (2019). Statistical design and analysis in trials of proportionate interventions: a systematic review. Trials, 20(1).
- Zheng, Haiyan & V Hampson, Lisa & Wandel, Simon. (2019). A robust Bayesian meta-analytic approach to incorporate animal data into phase I oncology trials. Statistical Methods in Medical Research.
- McMenamin, M., Berglind, A. and Wason, J.M., 2018. Improving the analysis of composite endpoints in rare disease trials. Orphanet journal of rare diseases, 13(1), p.81.
- Pallmann, P et al. 2018. Adaptive designs in clinical trials: why use them, and how to run and report them. BMC medicine, 16(1), p.29.
- Grayling, M.J., Wason, J.M. and Mander, A.P., 2018. Group sequential crossover trial designs with strong control of the familywise error rate. Sequential analysis, 37(2), pp.174-203.
- Hemming, K., Taljaard, M., McKenzie, J.E., Hooper, R., Copas, A., Thompson, J.A., Dixon-Woods, M., Aldcroft, A., Doussau, A., Grayling, M. and Kristunas, C., 2018. Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration. BMJ, 363, p.k1614.
- Grayling, M.J., Wason, J.M. and Mander, A.P., 2018. An optimised multi-arm multi-stage clinical trial design for unknown variance. Contemporary clinical trials, 67, pp.116-120.
- Candlish, J., Teare, M. D., Dimairo, M., Flight, L., Mandefield, L., & Walters, S. J. (2018). Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study.. BMC Medical Research Methodology, 18(1), 105.
- Matthews J.N.S., Forbes A.B. Stepped wedge designs: insights from a design of experiments perspective. Stat Med. 2017 Oct 30;36(24):3772-3790.
- Cree, I. A., Uttley, L., Buckley Woods, H., Kikuchi, H., Reiman, A., Harnan, S., . . . Shaw, J. (2017). The evidence base for circulating tumour DNA blood-based biomarkers for the early detection of cancer: a systematic mapping review. BMC Cancer, 17, 697.
- Mason, S., Kuczawski, M., Teare, M. D., Stevenson, M., Goodacre, S., Ramlakhan, S., . . . Rothwell, J. (2017). AHEAD Study: an observational study of the management of anticoagulated patients who suffer head injury. BMJ Open, 7(1).
- Wason, J.M., Abraham, J.E., Baird, R.D., Gournaris, I., Vallier, A.L., Brenton, J.D., Earl, H.M. and Mander, A.P., 2015. A Bayesian adaptive design for biomarker trials with linked treatments. British journal of cancer, 113(5), p.699.
- Villar, S.S., Wason, J. and Bowden, J., 2015. Response‐adaptive randomization for multi‐arm clinical trials using the forward looking Gittins index rule. Biometrics, 71(4), pp.969-978.
- Matthews J.N.S., Badi N.H., 2015. Inconsistent treatment estimates from mis‐specified logistic regression analyses of randomized trials. Stat. Med. 2015,34 2681–2694.