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Dr Elizabeth Williamson

BA MSc PhD

Professor
of Biostatistics and Health Data Science

Room
G37b

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)20 7927 2261

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. 

Affiliations

Faculty of Epidemiology and Population Health
Department of Medical Statistics

Centres

Centre for Statistical Methodology

Teaching

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.

Research

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. 

Research Area
Statistical methods
Electronic health records
Methodology
Discipline
Epidemiology
Statistics

Selected Publications

Data science for society: Challenges, developments and applications
Hardelid P; Christen P; Williamson E; Harron K; De Stavola BL
2021
Journal of the Royal Statistical Society: Series A (Statistics in Society)
Comparative effectiveness of ChAdOx1 versus BNT162b2 COVID-19 vaccines in Health and Social Care workers in England: a cohort study using OpenSAFELY
Hulme W; Williamson E; Green A; Bhaskaran K; McDonald H; Rentsch C; Schultze A; Tazare J; Curtis H; Walker A
2021
medRxiv
A framework for handling missing accelerometer outcome data in trials.
Tackney MS; Cook DG; Stahl D; Ismail K; Williamson E; Carpenter J
2021
Trials
Risks of covid-19 hospital admission and death for people with learning disability: population based cohort study using the OpenSAFELY platform.
Williamson EJ; McDonald HI; Bhaskaran K; Walker AJ; Bacon S; Davy S; Schultze A; Tomlinson L; Bates C; Ramsay M
2021
BMJ (Clinical research ed.)
Propensity scores using missingness pattern information: a practical guide.
Blake HA; Leyrat C; Mansfield KE; Seaman S; Tomlinson LA; Carpenter J; Williamson EJ
2019
Statistics in Medicine
Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies.
Elze MC; Gregson J; Baber U; Williamson E; Sartori S; Mehran R; Nichols M; Stone GW; Pocock SJ
2017
Journal of the American College of Cardiology
Study protocol for statin web-based investigation of side effects (StatinWISE): a series of randomised controlled N-of-1 trials comparing atorvastatin and placebo in UK primary care.
Herrett E; Williamson E; Beaumont D; Prowse D; Youssouf N; Brack K; Armitage J; Goldacre B; MacDonald T; Staa TV
2017
BMJ open
Propensity score analysis with partially observed covariates: How should multiple imputation be used?
Leyrat C; Seaman SR; White IR; Douglas I; Smeeth L; Kim J; Resche-Rigon M; Carpenter JR; Williamson EJ
2017
Statistical methods in medical research
Text messaging reminders for influenza vaccine in primary care: a cluster randomised controlled trial (TXT4FLUJAB).
Herrett E; Williamson E; van Staa T; Ranopa M; Free C; Chadborn T; Goldacre B; Smeeth L
2016
BMJ open
Appropriate inclusion of interactions was needed to avoid bias in multiple imputation.
Tilling K; Williamson EJ; Spratt M; Sterne JAC; Carpenter JR
2016
Journal of clinical epidemiology
See more Publications