Dr Elizabeth Williamson
BA MSc PhD
of Biostatistics and Health Data Science
I studied mathematics as an undergraduate at King's College, Cambridge, from 1999-2001, followed by a MSc in Medical Statistics at the University of Leicester. I then undertook a PhD at LSHTM under the supervision of James Carpenter, which was awarded in 2007, focusing on propensity score analysis. For the next 7 years I worked in Australia, beginning at the NHMRC Clinical Trials Unit at Sydney University, then moving to the Murdoch Childrens Research Institute in Melbourne, followed by positions at Monash University and the University of Melbourne. In 2014, I returned to LSHTM to work with James Carpenter, in a position with the Farr Institute, London, investigating statistical methods for addressing causal questions using electronic health records. During the COVID-19 pandemic, I worked with the OpenSAFELY collaborative using electronic health records to address pressing COVID-related questions.
I am a Module Organiser for the module Analysis of Electronic Health Record data, part of the recently established MSc in Health Data Science. I also contribute to a number of short courses.
My work explores the use of routinely collected data, particularly electronic health records, to address health related questions. A key focus of this work is methods for dealing with intractable confounding, including the high dimensional propensity score and related analysis approaches. Much of my work tackles barriers encountered in practice when applying such methods to electronic health record data, in particular handling missing data.