Dr Clemence Leyrat


Research Fellow
in Statistics

G 36

Keppel Street
United Kingdom

After studying cognitive sciences at the University of Bordeaux (France) from 2005 to 2009, I obtained an MSc in Biostatistics at the Bordeaux school of Public Health in 2010. I then completed a PhD in Biostatistics at the University Paris Diderot in 2014 on the use of propensity score methods for cluster randomised trials, under the supervision of Bruno Giraudeau. During my PhD, I was involved in the statistical analysis of observational studies and clinical trials and taught statistics applied to biology and psychology. From 2014 to 2015, I did post-doctoral research in collaboration with the Hospital of Tours (INSERM CIC 1415 France) and Queen Mary University of London (Pragmatic Clinical Trial Unit).

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Department of Medical Statistics
Faculty of Epidemiology and Population Health


Statistical Methodology


 I am currently working on handling missing data for propensity score estimation in the context of electronic health records. I am also interested in the methodology of cluster randomised trials and causal inference (CACE analyses, instrumental variables).

Research Area
Clinical trials
Electronic health records
Randomised controlled trials

Selected Publications

Performance of principal scores to estimate the marginal compliers causal effect of an intervention.
Porcher, R. ; Leyrat, C. ; Baron, G. ; Giraudeau, B. ; Boutron, I. ;
Stat Med
Propensity score to detect baseline imbalance in cluster randomized trials: the role of the c-statistic.
Leyrat, C. ; Caille, A. ; Foucher, Y. ; Giraudeau, B. ;
BMC Med Res Methodol
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. ;
Peer review of grant applications: a simple method to identify proposals with discordant reviews.
Giraudeau, B. ; Leyrat, C. ; Le Gouge, A. ; Léger, J. ; Caille, A. ;
PLoS One
See all Dr Clemence Leyrat's Publications