2 citations · 2 across the 4 of their papers we have counts for
6 papers
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…
An ordinal measure of interrater absolute agreement
Giuseppe Bove, Pier Luigi Conti, Daniela Marella
A measure of interrater absolute agreement for ordinal scales is proposed capitalizing on the dispersion index for ordinal variables proposed by Giuseppe Leti. The procedure allows…
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…
Analytic inference in finite population framework via resampling
Pier Luigi Conti, Alberto Di Iorio
The aim of this paper is to provide a resampling technique that allows us to make inference on superpopulation parameters in finite population setting. Under complex sampling desig…
A unified principled framework for resampling based on pseudo-populations: asymptotic theory
Pier Luigi Conti, Daniela Marella, Fulvia Mecatti +1
In this paper, a class of resampling techniques for finite populations under complex sampling design is introduced. The basic idea on which it rests is a two-step procedure consist…