Dr Clemence Leyrat
in Medical Statistics
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 Cancer Survival Group (Department of Non-Communicable Disease Epidemiology) on the application of causal inference methods, including emulated trials, to understand cancer inequalities in the UK.
I am currently the organizer of the module "Robust Statistical Methods" for the MSc in Medical Statistics and co-organizer of the distance learning module "Cluster randomised trials".
I also deliver lectures in the following short courses:
- Design & Analysis of Cluster Randomised and Stepped Wedge Trials short course
- Cancer Survival: Principles, Methods and Applications
- Causal inference in epidemiology
I am an Associate Fellow of the Higher Education Academy.
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.