Florie Bouvier, MSc
As a Ph.D. candidate in Biostatistics, I have a strong focus on personalized medicine. My research involves investigating the methodology for estimating individual treatment effects (ITE). My work encompasses the examination of the performance of various statistical and machine learning techniques for the ITE estimation, utilizing data from single randomized controlled trials (RCTs) as well as data from multiple RCTs through individual participant data meta-analysis.
Research interests
Personalized medicine
Methods for individual treatment rules and effects (i.e., ITR/ITE)
Individual participant data meta-analysis