: 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
