8 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
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…
On the estimation of the Lorenz curve under complex sampling designs
Pier Luigi Conti, Alberto Di Iorio, Alessio Guandalini +3
This paper focuses on the estimation of the concentration curve of a finite population, when data are collected according to a complex sampling design with different inclusion prob…