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Centre for Statistics in Medicine

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.

>25 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

Latest CSM news

Cracking the genetic code for COVID-19 vaccine effectiveness

Researchers have unveiled critical insights into how our genetic makeup influences the body's response to COVID-19 vaccines. The study, published in Nature Communications, may open new paths to personalised vaccination strategies.

New Maternity Early Warning Score to be implemented across the NHS

Researchers in Oxford have developed a new maternity early warning score that is derived from patient data. The new system, which is being rolled out across the English NHS, will help healthcare providers identify and respond to signs of deterioration in pregnant women.

New TRIPOD+AI guidelines reflect growing use of AI in healthcare research

The widespread use of artificial intelligence (AI) in medical decision-making tools has led to an update of the TRIPOD guidelines for reporting clinical prediction models. The new TRIPOD+AI guidelines are launched in the BMJ today.

COVID-19 vaccines effectiveness: results from Norway demonstrate the reproducibility of federated analytics

Researchers from NDORMS and the University of Oslo, have successfully replicated findings from recently published international studies on the effectiveness of COVID-19 vaccines to prevent long COVID and post-acute complications.