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 Big Health Data Research, OCTRU and the UK EQUATOR Centre
The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences aims to discover the causes of musculoskeletal and inflammatory conditions to deliver excellent, innovative care that improves people’s quality of life.
Cessation rate of anti-osteoporosis treatments and risk factors in Spanish primary care settings: a population-based cohort analysis.
Martín-Merino E. et al, (2017), Arch Osteoporos, 12
Serum Lipid Levels and Risk Of Hand Osteoarthritis: The Chingford Prospective Cohort Study.
Garcia-Gil M. et al, (2017), Sci Rep, 7
Income Disparities in Absolute Cardiovascular Risk and Cardiovascular Risk Factors in the United States, 1999-2014.
Odutayo A. et al, (2017), JAMA Cardiology
Study protocol: A multi-centre, double blind, randomised,
placebo-controlled, parallel group, phase II trial (RIDD) to
determine the efficacy of intra-nodular injection of anti-TNF to
control disease progression in early Dupuytren’s disease, with
an embedded dose response study
Nanchahal J. et al, (2017), Wellcome Open Research
About the EQUATOR Network
The EQUATOR Network is an international initiative set up to help researchers and journals publish well-reported, reliable, usable research papers through reporting guidelines. CSM is home to the UK EQUATOR Centre.
RANDOMISED CONTROLLED TRIAL COURSE 2017: A Guide to Design, Conduct, Analysis, Interpretation and Reporting
Monday, 25 September 2017 to Friday, 29 September 2017