Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks

Paola Vicard, Paola Maria Vittoria Rancoita, Federica Cugnata +4

This paper proposes a new statistical approach for assessing treatment effect using Bayesian Networks (BNs). The goal is to draw causal inferences from observational data with a bi…