Event

Tracing the Genetic Footprints of the UK National Health Service

Selection biases can distort causal estimates and undermine policy evaluations, yet detecting and quantifying selection remains empirically challenging. This paper introduces a novel method for detecting and quantifying selective survival using genetic data. Specifically, Polygenic Indices (PGIs) are predetermined at birth and should be equally distributed between treatment and control...

Presented by: Dr Nicolau Joaquim Martin Bassols (University of Bologna)

Venue: 2N2.4.16

Event

What can your shopping basket say about your health? 

Novel sources of population data, especially administrative and medical records, as well as the digital footprints generated through interactions with online services, present a considerable opportunity for advancing health research and policymaking. An illustrative example is shopping history records that can illuminate aspects of population health by scrutinizing extensive sets...

Presented by: Dr Anya Skatova, University of Bristol

Venue: 2N2.4.16