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Dr Elizabeth Williamson

BA MSc PhD

Associate Professor
of Medical Statistics

Room
G37b

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)20 7927 2261

From 1999-2001 I studied mathematics at King's College Cambridge. I then moved to Leicester to study medical statistics. After receiving a MSc in Medical Statistics I moved to London to begin a PhD at LSHTM under the supervision of James Carpenter, which was awarded in 2007. 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.

Affiliations

Faculty of Epidemiology and Population Health
Department of Medical Statistics

Centres

Statistical Methodology

Teaching

I teach the Probability module in the MSc in Medical Statistics as well as contributing to a number of short courses.

Research

I currently hold an MRC project grant to investigate methods for dealing with intractable confounding in studies using data taken from electronic health records, with a focus on propensity score analyses. We are also investigating how best to apply multiple imputation within this context, and exploring alternative missing data approaches. 

Research Area
Methodology
Discipline
Epidemiology
Statistics

Selected Publications

Propensity scores using missingness pattern information: a practical guide
Blake HA; Leyrat C; Mansfield KE; Seaman S; Tomlinson LA; Carpenter J; Williamson EJ
2019
ArXiv
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
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
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
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 JA; Carpenter JR
2016
Journal of clinical epidemiology
See more Publications