The Centre for Data and Statistical Science for Health acts as a hub for those working in data science at the London School of Hygiene & Tropical Medicine. This includes statisticians, epidemiologists, bioinformaticians, [add one or two more].
Our researchers work together on cutting-edge methodological developments that aim to advance data science within public health and the life/medical sciences [...]. This covers a range of different areas of methodology
- Statistical Methodology
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Some key work we undertake within this area of methodology includes:
- Causal inference methodology
- Missing data
- Trials methodology
- Epidemiological Methods
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Some key work we undertake within this area of methodology includes:
- Target trial emulation
- Triangulation
- Study designs
- AI/Machine Learning for Health
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Some key work we undertake within this area of methodology includes:
- High-dimensional propensity scores
- Natural language processing agents
- molecular LLMs
- federated learning
- Multi-Omics & Bioinformatics
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Some key work we undertake within this area of methodology includes:
- Phylodynamics
- genomic epidemiology
- microbiome
- proteomics
- Electronic Health Records Data
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Some key initiatives run by Centre members within this area of methodology include:
- CPRD
- OpenSAFELY
- EHR groups