Section: Application Domains

Pharmacovigilance

A collaboration is ongoing with Pascale Tubert-Bitter, Ismael Ahmed and Mohamed Sedki (Pharmacoepidemiology and Infectious Diseases, PhEMI) for the analysis of pharmacovigilance data. In this framework, the goal is to detect, as soon as possible, potential associations between certain drugs and adverse effects, which appeared after the authorized marketing of these drugs. Instead of working on aggregate data (contingency table) like is usually the case, the approach developed aims to deal with individual's data, which perhaps gives more information. Valerie Robert has completed a thesis co-supervised by Gilles Celeux and Christine Keribin on this topic, which involved the development of a new model-based clustering method, inspired by latent block models. Morever, she has defined new tools to estimate and assess the block clustering involved in these models.