Machine Learning in Montpellier, Theory & Practice

Causal inference using observational data presents many statistical challenges, particularly when dealing with missing confounder data. While multiple imputation offers a potential solution, its implementation with propensity score matching requires careful consideration. In this talk, we will delve into empirical studies conducted by the LSHTM* Statistics team to explore these matters.,,