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 next takes place 12-13 November 2020.
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.
24 July 2020
Researchers at the University of Oxford are investigating the long-term health outcomes for patients who have been treated for severe COVID-19 disease in intensive care.
18 June 2020
Reporting at EULAR, researchers found that opioid use by patients with rheumatic and musculoskeletal pain was on the rise in Europe.
8 June 2020
The statistical analysis and reporting of treatment effects in reports of randomised trials with a binary primary endpoint requires substantial improvement, suggests NDORMS research published in BMC Medicine.
7 April 2020
The modelling and approach to tackle the hard medical decisions associated with the spread of the COVID-19 virus may be based on weak and overly-optimistic evidence from studies that are biased and unreliable, suggests research published by The BMJ today.
Thursday, 12 November 2020 to Friday, 13 November 2020, 9am - 5pm @ Botnar Research Centre, University of Oxford
The secrets of success in writing, publishing, and disseminating research articles
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.