: Identifying Covid-19 risk factors with simultaneous Bayesian-frequentist model-averaged hypothesis testing
Helen will present a newly developed method called Doublethink. The method performs simultaneous Bayesian and frequentist discovery of risk factors via a model-averaged hypothesis testing approach. Helen will describe how they have used this method to identify direct risk factors for Covid-19 deaths in UK biobank.
Date: 15 April 2024, 13:00 (Monday, 0th week, Trinity 2024)
Venue: Big Data Institute, Old Road Campus OX3 7LF
Venue Details: BDI seminar rooms
Speaker: Dr Helen Fryer (Oxford Population Health)
Organising department: Nuffield Department of Population Health
Organiser: Professor Angela Brueggemann (Oxford Population Health)
Part of: Infectious Disease Seminar Series
Booking required?: Not required
Audience: Members of the University only
Editor: Isobel Young