Section: Application Domains

Pharmacovigilance

A collaboration has started with Pascale Tubert-Bitter, Ismael Ahmed and Mohamed Sedki (Pharmacoepidemiology and Infectious Diseases, PhEMI) for the analysis of pharmacovigilance data. In this framework, the objective is to detect as soon as possible potential associations between some drugs and adverse effects which appeared after the authorisation marketing of these drugs. Instead of working on aggregated data (contingency table) like it is usually the case, the developed approach aims at dealing with the individual data which perhaps give more information. Valerie Robert started a thesis cosupervised by Gilles Celeux and Christine Keribin on this topic which enables to develop a new model based-clusering inspired of the latent block model.