The Centre for Data and Statistical Science for Health acts as a network for staff and students across LSHTM who do research in data and statistical science. We aim to develop new approaches by fostering interdisciplinary collaboration and to embed methodological rigour into our work.
We leverage LSHTM’s unique position which combines a global reach, with data science strengths in London and at the MRC units in Uganda and The Gambia, expertise in statistical and data methodology and use of a huge range of data sources to address the major health challenges, in the UK and globally.
We bring together molecular and cellular biologists, experts in imaging and diagnostics, statisticians, epidemiologists, data scientists, health economists, trialists, clinicians, data curators, anthropologists and other social scientists, software engineers, modellers and policy analysts, who share common interests in developing data and statistical science in ways that can improve health worldwide.
The Centre builds on the former Centre for Statistical Methodology (CSM), which was founded in 2012 and achieved international recognition as a centre for excellence in the subject. We’d like to thank the Co-Director of CSM, Richard Grieve, for his role in the development of the new Centre.
- Elizabeth Williamson, Professor of Biostatistics and Health Data Science
- Nick Furnham, Associate Professor in Computational and Structural Biology of Infectious Disease
- Chair: Richard Grieve, Professor of Health Economics Methodology
Theme and challenge leads
- Data research
- Statistical methodology
- Routine data
- Molecular and imaging data
- Social science data
- Understanding the major determinants of health
- Developing and evaluating diagnostics and interventions
- Informing health policies that improve population health and reduce inequities
- Improving environmental and planetary health
- Antonio Gasparrini, Professor of Biostatistics and Epidemiology