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Dr Clemence Leyrat

Associate Professor

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

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 joined the department of Medical Statistics in 2015, and since then, most of my research focussed on the use of causal inference methods developed for the analysis of real-world data to improve the design and analysis of trials, and the application of the rigorous methodology of trials to improve the transparency and quality of observational research.

Besides methodological research, I am involved in applied project with researchers from the Electronic Health Records group at LSHTM, and I have also been working closely with the Inequalities in Cancer Outcomes Network (Department of Health Services Research and Policy) on the application of causal inference methods, including emulated trials, to understand and tackle cancer inequalities in the UK.

Affiliations

Department of Medical Statistics
Faculty of Epidemiology and Population Health

Centres

Centre for Data and Statistical Science for Health

Teaching

Module organizer for:
- 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"
- Short course "Statistical Analysis with Missing Data Using Multiple Imputation"

I am a 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
Methodological expectations for demonstration of health product effectiveness by observational studies.
Cucherat, M; Demarcq, O; Chassany, O; Le Jeunne, C; Borget, I; Collignon, C; Diebolt, V; Feuilly, M; Fiquet, B; LEYRAT, C; Naudet, F; Porcher, R; Schmidely, N; Simon, T; Roustit, M;
2024
Therapie
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