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Dr Clemence Leyrat

Associate Professor

London School of Hygiene and Tropical Medicine
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)207 927 2169

After studying cognitive sciences at the University of Bordeaux (France), I obtained a MSc in Biostatistics from the Bordeaux School of Public Health in 2010. Then, I moved to Tours (France) to do a PhD on the use of propensity score methods for the analysis of cluster randomised trials, under the direction of Prof Bruno Giraudeau. During this period, I developed a growing interest in causal inference methods to analyse observational data as well as for trial methodology. I obtained my doctorate in April 2014, from Paris Diderot University, and moved to London to pursue post-doctoral research with Prof Sandra Eldridge at Queen Mary University on the issues of small samples and non-compliance in cluster randomised trials.

I joined the department of Medical Statistics at LSHTM in September 2015, to do methodological work on missing data methods in propensity score analysis, working closely with Dr Elizabeth Williamson and Prof James Carpenter. I have been regularly involved in the analysis of observational data, in collaboration with researchers from the Electronic Health Records group at LSHTM. Since October 2018, I have also been working part-time with the Inequalities in Cancer Outcomes Network (Department of Non-Communicable Disease Epidemiology) on the application of causal inference methods, including emulated trials, to understand cancer inequalities in the UK.

Currently, I am the PI of a work package within the Horizon 2020 project QUALITOP. This project, led by Prof Delphine Maucourt-Boulch (Hospices Civils de Lyon, France) aims at monitoring multidimensional aspects of quality of life after cancer immunotherapy. As of April 2020, I hold an MRC Skills development fellowship allowing me to investigate how machine learning methods may enhance the design and analysis of cluster randomised trials.

Affiliations

Department of Medical Statistics
Faculty of Epidemiology and Population Health

Centres

Centre for Data and Statistical Science for Health

Teaching

Module organizer for:

- Robust Statistical Methods (Msc in Medical Statistics)

- Causal Inference and Missing Data (MSc in Medical Statistics)

Face-to-Face teaching:

- Short course "Design & Analysis of Cluster Randomised and Stepped Wedge Trials"

- Short course "Essentials of Clinical Trials"

I am an Associate Fellow of the Higher Education Academy, and I hold the lecturer qualification from the French University Council.

Research

Causal inference

Trials methodology

Cancer epidemiology

Analysis of Electronic Health Record data

Research Area
Clinical trials
Modelling
Public health
Statistical methods
Epidemiology
Randomised controlled trials
Disease and Health Conditions
Cancer
Diabetes
Country
United Kingdom

Selected Publications

Open science saves lives: lessons from the COVID-19 pandemic.
Besançon, L; Peiffer-Smadja, N; SEGALAS, C; Jiang, H; Masuzzo, P; Smout, C; Billy, E; Deforet, M; LEYRAT, C;
2021
BMC medical research methodology
Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why.
LEYRAT, C; CARPENTER, JR; Bailly, S; WILLIAMSON, EJ;
2020
American journal of epidemiology
Intervention effect estimates in cluster randomized versus individually randomized trials: a meta-epidemiological study.
LEYRAT, C; Caille, A; Eldridge, S; Kerry, S; Dechartres, A; Giraudeau, B;
2018
International Journal of Epidemiology
Cluster randomized trials with a small number of clusters: which analyses should be used? (vol 47, pg 321, 2018)
LEYRAT, C; MORGAN, KE; LEURENT, B; Kahan, BC;
2018
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
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
Timeline cluster: a graphical tool to identify risk of bias in cluster randomised trials.
Caille, A; Kerry, S; Tavernier, E; LEYRAT, C; Eldridge, S; Giraudeau, B;
2016
BMJ (Clinical research ed)
Propensity score to detect baseline imbalance in cluster randomized trials: the role of the c-statistic.
LEYRAT, C; Caille, A; Foucher, Y; Giraudeau, B;
2016
BMC medical research methodology
A comparison of imputation strategies in cluster randomized trials with missing binary outcomes.
Caille, A; LEYRAT, C; Giraudeau, B;
2014
Statistical methods in medical research
Risk of death following chikungunya virus disease in the 100 Million Brazilian Cohort, 2015-18: a matched cohort study and self-controlled case series.
Cerqueira-Silva, T; Pescarini, JM; Cardim, LL; LEYRAT, C; Whitaker, H; Antunes de Brito, CA; Brickley, EB; Barral-Netto, M; Barreto, ML; Teixeira, MG; Boaventura, VS; PAIXÃO, ES;
2024
The Lancet. Infectious diseases
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