Contemporary Trends in Cardiovascular Disease and Obesity: Insights from Whole-Population Electronic Health Records in England

Angela Wood Is professor of Heath Data Science and Associate Director and Theme Lead for Structured Data for the BHF Data Centre at the Victor Phillip Dahdaleh Hearth and Lung Research Institute at the University of Cambridge. After a BSc (Hons) and PhD in Mathematics form the University of Lancaster she undertook post-doctoral research at the MRC Biostatistics Unit at Cambridge.

Professor Wood’s research focuses on the frontiers of big data and epidemiology, underpinned by major population resources and informed by applied questions of major population health and global importance. She has developed novel methods and applied them in the analysis of large, complex datasets such as ~67M individuals in CVD-COVID-UK consortium, >3M participants in Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank. With the BHF Data Science Centre and in partnership with NHS Digital, she has helped to establish access to the England-wide Electronic Health Record resource on >55M people and is developing innovative and principled methods for reproducible analysis of the resource.

In biostatistics methodology research, Professor Wood focuses largely on methods for utilising electronic health records to produce unbiased results for medical/epidemiological research, including handling measurement error, using repeated measures of risk factors, missing data problems, multiple imputation, risk prediction and meta-analysis. 

This seminar is open to members of the University.