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.
CSM training opportunities
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.
UK EQUATOR Centre Publication School
UK EQUATOR Centre's Publication School is now online! Join us 2-5 March and 5-8 October 2021.
This course covers everything you need to plan for publication and write up your health-related research study. Experience four half-days of learning, with group work, discussion, and practical writing exercises to reinforce learning, all live online.
Latest CSM news
11 May 2021
Insufficient data, and misleading recommendations led to significant early heterogeneity in global COVID-19 patient management, according to recent BMJ study
Understanding the first wave of COVID-19 and implications for tackling the ongoing pandemic: evidence from 5.5 million people from Catalonia, Spain
3 February 2021
Health outcomes during the first wave of COVID-19 in Catalonia, Spain, have been described in detail in a study published by Nature Communications.
10 September 2020
Patients could benefit from a faster and more effective introduction of artificial intelligence (AI) innovations to diagnose and treat disease – thanks to the first international standards for reporting of clinical trials for AI.
10 August 2020
An international cohort of OHDSI collaborators obtain a grant from the COVID-19 Therapeutics Accelerator to lead an effort to compare the effectiveness of treatments, including corticosteroids such as dexamethasone, under current evaluation for COVID-19 across an international observational data network.
Featured CSM publications
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.