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
Read about our programme of research and collaboration in the medical and healthcare research community.
Join our regular training events and lectures on all aspects of the design, conduct, analysis, and reporting of medical and healthcare research.
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.
16 May 2019
The Centre for Statistics in Medicine (CSM) has been awarded £2.5m by Cancer Research UK to advance a programme of work for research on research, developing crucial methodology and key guidelines for excellent medical research.
Thursday, 07 November 2019 to Friday, 08 November 2019, 9am - 5pm @ Botnar Research Centre, University of Oxford
RSS Oxford talk on Intergenerational fairness of pensions: Statistical analysis, assumptions and actuarial models
Tuesday, 19 November 2019, 4.30pm to 6pm @ Large Lecture Theatre, Department of Statistics, 24-29 St Giles', Oxford OX1 3LB
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).
Collins GS. et al, (2015), Ann intern med, 162, 735 - 736
Love SB. et al, (2017), Br j cancer, 117, 332 - 339
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, (2018), Health technol assess, 22, 1 - 112
The effect of rheumatoid arthritis on patient-reported outcomes following knee and hip replacement: evidence from routinely collected data.
Burn E. et al, (2019), Rheumatology (oxford), 58, 1016 - 1024
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.
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.