2 papers
stat.ME2025
Bayesian Network Propensity Score to Evaluate Treatment Effects in Observational Studies
Clelia Di Serio, Federica Cugnata, Pier Luigi Conti +4
This paper focuses on the Bayesian Network Propensity Score (BNPS), a novel approach for estimating treatment effects in observational studies characterized by unknown (and likely…
stat.ME2023
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…