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Biostatistics

The Biostatistics theme, led by Professor Daniel Stahl, is made up largely of statisticians. We have five primary areas of methodological and applied research:

  1. Prediction modelling and personalised medicine
  2. Causal evaluation and the analysis of therapeutic mechanism
  3. The Psychometrics & Measurement Lab
  4. Life course research
  5. Mental health clinical trial statistics and methodology. 

Our statisticians also provide statistical collaboration for both introductory and advanced training in applied statistical methodology.

The IoPPN has had a dedicated biostatistics department since 1964, opened then as the Biometrics Unit by Professor A.E. Maxwell. We led the Trials, Genomics and Prediction theme of the NIHR Maudsley Biomedical Research Centre, that aims to deliver a step-change in patient-centred, data-driven mental health research at scale.

Under the Biostatistics theme, the Department is host to the national NIHR Research Support Service Hub specialising in Mental Health and Neuroscience. It provides a comprehensive framework for research design, development, collaboration, and implementation and offers continuous assistance from the initial pre-application stages to the subsequent post-application phases. Our researchers support the UKCRC accredited King's Clinical Trials Unit which provides randomisation, data management, trial management and statistical analysis for a growing portfolio of clinical trials in all health and social care.

Research groups

Lifecourse Epidemiology

Lifecourse Epidemiology

The lifecourse epidemiology group develop and apply methodologies that illuminate the complexity of…

 

Discover Biostatistics & Health Informatics

Who we are

About us

We are a major force in the development of quantitative methodology in mental health research.

Our impact

Research impact

Driving progress in global mental health research through advanced quantitative methods.

Our people

Our people

Meet the members of the Department of Biostatistics & Health Informatics.