Dr Clemence Leyrat
MSc PhD
Associate Professor
in Medical Statistics
LSHTM
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 and a PhD in 2014 from Paris-Diderot University. My PhD thesis was on the use of propensity score methods for the analysis of cluster randomised trials. During this period, I developed a growing interest in causal inference methods for the analysis of observational data as well as for trial methodology, which has remained my main research area. After a post-doc 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 Prof Elizabeth Williamson and Prof James Carpenter. I am also part of the Inequalities in Cancer Outcomes Network (ICON) where I develop and apply causal inference methods to understand cancer inequalities in the UK.
Affiliations
Teaching
I am currently the co-organizer of the module "Advanced Statistica Modelling" for the MSc in Medical Statistics, and involved in the DL module "Cluster Randomised Trials" and the short course "Design & Analysis of Cluster Randomised and Stepped Wedge Trials.
I am an Associate Fellow of the Higher Education Academy.
Research
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.