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. Our Centres aims to facilitate research and knowledge exchange in data and statistical science, and translate these insights into innovative solutions to major global health problems.
Either:
- do boxes/accordions for each method
- or link to new pages for each focus area
- Do we link to separate pages?
The Centre broadly divides its work and activities into three areas of focus. More information on each area, including specific topics of focus for Centre members working in this area and examples, are provided below.
- Methods
Our researchers work together on cutting-edge developments in data science methodology to advance public health research.
This covers a range of methodological areas including: epidemiology, biostatistics, multi-omics, AI and machine learning.
- Data
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- Applications
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Data
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- Electronic Health Records Data
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- Data Linkage & Infrastructure
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- Cohorts & Health Databases
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- Specialist Data for Health
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Methods
Our researchers work together on cutting-edge developments in data science methodology to advance public health research.
This covers a range of methodological areas including: epidemiology, biostatistics, multi-omics, AI and machine learning.
