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VIRTUAL EVENT: Perils and promises of propensity scores
02 June 2020, 10:30 am–12:30 pm
As part of its annual symposium UCL's Network of Applied Statisticians in Health (NASH) will run two webinars in June dedicated to propensity score methods. This year's symposium is called, 'Propensity score methods: perils, promises and beyond!'
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Network of Applied Statisticians in Health
Join us on 2 June for the first virtual event of our annual symposium, Perils and promises of propensity scores.
Programme
10:30 - 10:40 Welcome
10:40 - 11:10 Introduction to propensity scores
Fizz Williamson and Clemence Leyrat, LSHTM
11:10 - 11:35 Group activity
11:35 - 11:50 Review and Discussion
Fizz Williamson and Clemence Leyrat, LSHTM
11:50 - 12:20 Missing data (and other issues) in propensity score analysis
Fizz Williamson and Clemence Leyrat, LSHTM
12:20 - 12:30 Open discussion
Further details
Password for Eventbrite booking: NASH
This event is one of a series of Annual Events organised by UCL's Network of Applied Statisticians in Health.
About the Speakers
Elizabeth Williamson
Associate Professor of Biostatistical Methodology at London School of Hygiene & Tropical Medicine
Elizabeth Williamson is a biostatistician working in the Department of Medical Statistics. Her work focuses on statistical methods for addressing causal questions using electronic health records. Following an undergraduate degree in mathematics at King's College Cambridge and an MSc from the University of Leicester she undertook a PhD at the London School of Hygiene & Tropical Medicine (LSHTM) investigating the use of propensity scores to address confounding in observational data. From 2007 to 2014, Elizabeth lived in Australia, working in a range of biostatistical roles at the University of Sydney, Murdoch Childrens Research Institute, Monash University and the University of Melbourne. In 2014, she returned to LSHTM to take a position jointly between LSHTM and the Farr Institute of Health Informatics, London.
Clémence Leyrat
Assistant Professor in Medical Statistics at London School of Hygiene & Tropical Medicine
Clémence Leyrat is a medical statistician working in the Department of Medical Statistics and in the Cancer Survival Group. She completed her doctorate at Paris Diderot University in 2014. Her PhD research focused on the use of propensity score methods in the analysis of cluster randomised trials. After a post-doc at Queen Mary University of London, she moved to LSHTM to work on a methodological research project investigating methods to handle missing data in propensity score analysis. She has also been involved in several applied project using causal inference methods and is currently interested in trial emulation from observational data.