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The Unit for Medical Statistics (UMS) is enthusiastic and friendly group of medical statisticians with a broad range of collective expertise who undertake research, consultancy, training and teaching at King’s and beyond.

Our research has several flavours: we collaborate with clinicians and health researchers, taking responsibility for the design and statistical issues of studies by deriving new methods or by adapting existing methods. In addition, many of us have strong clinical/epidemiological interests and enjoy collaborative medical research.

Please see our personal pages for our biographies, publications and grants.

UMS currently includes 10 statisticians. Group members have substantial expertise in early and later phase clinical trials (NIHR, MRC, Welcome Trust, BHF and charities), epidemiological studies, registers and databases and have specific methodological interests in prognostic models, early phase trial design, and biomarkers enrichment/prediction.

Members of the group collaborate in a range of clinical areas within and outside King’s, including stroke, cardiovascular disease, respiratory medicine, infectious disease, liver disease, ophthalmology, paediatrics, sexual health, and dermatology.

All members of UMS contribute to a King’s-wide statistical consultancy and statistical services established and led by the group. The statistics service includes a range of support and collaborative ventures within and externally to King’s.

The group contributes to teaching statistics to undergraduates in medicine and postgraduates in public health and other specialities. We have strong links with the Biomedical Research Centre (BRC) at King’s, Research Design Service (RDS) London, and the King’s Clinical Trials Unit (KCTU) and form one of the two main statistical groups affiliated to the KCTU.

Our Partners

Additional group members:

  • Mr Bola Coker – Senior Data Manager
  • Mr Hatem Wafa – Research Associate

Collaborative clinical research:

Group leads

Contact us

Unit for Medical Statistics
Department of Population Health Sciences
School of Population Health & Environmental Sciences
Faculty of Life Sciences and Medicine
Kings College London
Guy’s Campus,
Addison House
London SE1 1UL