COVID-19 prognosis and prediction models for medical decision-making are flawed, say researchers
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.
Read moreStatistics 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
CSM research
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.
CSM team
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 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
COVID-19 vaccine safety monitoring should account for age, gender, and database differences
14 June 2021
The largest, most extensive global network study on background rates for adverse events of special interest identifies important age, sex and database differences that should inform future safety surveillance efforts.
3,400 different medicines used globally to treat COVID-19
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.
Patients set to benefit from new guidelines on Artificial Intelligence health solutions
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.
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
Embracing model-based designs for dose-finding trials.
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.
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