VIRTUAL EVENT: Perils and promises of propensity scores

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 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.