Séminaire Numerics : Mechanistic modeling and inference for clinical trial data analysis

To assess the efficacy of a vaccine strategy, there is a need to analyze data harvested during clinical trial in which numerous subjects are followed at several time-points after vaccination via the measurement of biological quantities of interest. For their predictive ability and interpretability, mechanistic models (i.e based on ordinary differential equations) are suited for these tasks. However, they need to be constructed and their parameter estimated first. In this presentation, we will give a brief introduction to such models as well as the existing estimation methods suited for them.