51 citations · 71 across the 13 of their papers we have counts for
7 papers · 1 filter
Regression-based approach for natural direct and indirect relative risk in case of multiple mediators
Monia Lupparelli, Arianna Nuti, Giovanni Maria Marchetti +1
Mediation analysis investigates whether part of the treatment effect is channelled through one or more mediators along the causal pathway between the treatment and the primary outc…
Bayesian principal stratification with longitudinal data and truncation by death
Giulio Grossi, Marco Mariani, Alessandra Mattei +1
In many causal studies, outcomes are censored by death, in the sense that they are neither observed nor defined for units who die. In such studies, the focus is usually on the stra…
Principal stratification with continuous treatments and continuous post-treatment variables
Joseph Antonelli, Minxuan Wu, Fabrizia Mealli +2
Principal stratification (PS) is a commonly used approach for understanding the mechanisms through which a treatment affects an outcome. The goal of this work is to extend the PS f…
Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs
Laura Forastiere, Alessandra Mattei, Julia M. Pescarini +2
The Brazil Bolsa Familia (BF) program is a conditional cash transfer program aimed to reduce short-term poverty by direct cash transfers and to fight long-term poverty by increasin…
A novel quantile-based decomposition of the indirect effect in mediation analysis with an application to infant mortality in the US population
Marco Geraci, Alessandra Mattei
In mediation analysis, the effect of an exposure (or treatment) on an outcome variable is decomposed into two components: a direct effect, which pertains to an immediate influence…
Causal inference for binary non-independent outcomes
Monia Lupparelli, Alessandra Mattei
Causal inference on multiple non-independent outcomes raises serious challenges, because multivariate techniques that properly account for the outcome's dependence structure need t…
Bayesian Inference for Sequential Treatments under Latent Sequential Ignorability
Federico Ricciardi, Alessandra Mattei, Fabrizia Mealli
We focus on causal inference for longitudinal treatments, where units are assigned to treatments at multiple time points, aiming to assess the effect of different treatment sequenc…