Causal Inference in UK Secure Data Environments

Causal Inference in UK Secure Data Environments

This is a past event

External Event

CAUSALab is excited to invite you to the 17th Kolokotrones Symposium at the Harvard T.H. Chan School of Public Health!

The symposium will explore the UK approach to medicine data & electronic health records from the lens of causal inference research. Namely, how does the UK use health data to benefit the public while preserving patient privacy? This event is being run in collaboration with University of Bristol, University of Oxford, University of Liverpool, London School of Hygiene & Tropical Medicine and National Institute for Health and Care Excellence (NICE).

Why the UK English secure data environments (SDEs) for causal inference?,Rachel Denholm (University of Bristol, UK)

Causal inference for vaccinations: OpenSAFELY and COVID-19,Will Hulme (University of Oxford, UK)

Medicines data in UK electronic health records: Opportunities for Target Trial Emulation,Reecha Sofat (University of Liverpool, UK)

Causal inference for therapeutics: OpenSAFELY and COVID-19,John Tazare (London School of Hygiene and Tropical Medicine, UK)

Causal inference in UK electronic health records: Opportunities for open science,Venexia Walker (University of Bristol, UK)

Making policy decisions based on real world evidence from secure data environments,Stephen Duffield (NICE)

Expert Panel: Where do we go from here? – Chaired by Jonathan Sterne (University of Bristol); Panelists: Rachel Denholm (University of Bristol), Will Hulme (University of Oxford), Venexia Walker (University of Bristol), Reecha Sofat (University of Liverpool), John Tazare (LSHTM), Stephen Duffield (NICE)




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