Statistics expertise for medical and healthcare research
We collaborate with researchers across the UK and the globe to conduct world-class medical and healthcare research, aiming to advance healthcare practice and policy. We are committed to improving the standard of medical research methodology through research on research and methods development. We champion transparent and complete reporting of health research through reporting guidelines and training provision.
20 years experience in medical statistics
80+ current trials
Team of medical statisticians, epidemiologists, methodologists and systematic review specialists
Home of the Oxford Clinical Trials Research Unit (OCTRU) and the UK EQUATOR Centre
Our research
Read about our programme of research and collaboration in the medical and healthcare research community.
Training
Join our regular training events and lectures on all aspects of the design, conduct, analysis, and reporting of medical and healthcare research.
CSM team
Meet the CSM team and get in touch if you would like to collaborate on research projects or clinical trials and studies.
EQUATOR Publication School
UK EQUATOR Centre's two-day Publication School takes place 11-12 April, 13-14 June, and 7-8 November 2019!
This course covers everything you need to plan for publication and write up your health-related research study. Experience two intense days of learning, with group work, discussion, and practical writing exercises to reinforce learning at the Botnar Research Centre. Find out more.
Latest news
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Lead Statistician Joins OCTRU/CSM
17 January 2019
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Getting sample sizes right for clinical trials
6 November 2018
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New clinical tool will help patients with acute ankle sprain
6 November 2018
Upcoming events
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UK EQUATOR Centre Publication School April 2019
Thursday, 11 April 2019 to Friday, 12 April 2019, 9am - 5pm
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EQUATOR Lightning Workshop 2019: Writing the first draft of a research article
Wednesday, 17 April 2019, 12.30pm to 1.30pm
Featured publications
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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).
Collins GS. et al, (2015), Annals of internal medicine, 162, 735 - 736
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Embracing model-based designs for dose-finding trials.
Love SB. et al, (2017), British journal of cancer, 117, 332 - 339
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Prognostic models for identifying risk of poor outcome in people with acute ankle sprains: the SPRAINED development and external validation study
Keene DJ. et al, Health Technology Assessment, 22, 1 - 112
Royal Statistical Society
We coordinate the Oxford chapter of the Royal Statistical Society. All those with an interest in statistics are welcome to join our events.
DELTA2 guidance
The DELTA2 project aimed to develop guidance for specifying the target difference (or effect size) in the sample size calculation for a randomised clinical trial (RCT). This guidance is aimed at researchers and funders of RCTs. It is hoped that the guidance will help improve the design of future RCTs.