29 citations · 63 across the 10 of their papers we have counts for
10 papers
Handling outcome-dependent missingness with binary responses: A Heckman-like model
Marco Doretti, Elena Stanghellini, Alessandro Taraborrelli
In regression models with missing outcomes, selection bias can arise when the missingness mechanism depends on the outcome itself. This proposal focuses on an extension of the Heck…
Interval identification of natural effects in the presence of outcome-related unmeasured confounding
Marco Doretti, Elena Stanghellini
With reference to a binary outcome and a binary mediator, we derive identification bounds for natural effects under a reduced set of assumptions. Specifically, no assumptions about…
Omitting continuous covariates in binary regression models: implications for sensitivity and mediation analysis
Matteo Gasparin, Bruno Scarpa, Elena Stanghellini
By exploiting the theory of skew-symmetric distributions, we generalise existing results in sensitivity analysis by providing the analytic expression of the bias induced by margina…
Mediation analysis with case-control sampling: Identification and estimation in the presence of a binary mediator
Marco Doretti, Minna Genbäck, Elena Stanghellini
With reference to a stratified case-control procedure based on a binary variable of primary interest, we derive the expression of the distortion induced by the sampling design on t…
Exact mediation analysis for ordinal outcome and binary mediator
Elena Stanghellini, Maria Kateri
With reference to a single mediator context, this brief report presents a model-based strategy to estimate counterfactual direct and indirect effects when the response variable is…
Path Analysis for Binary Random Variables
Martina Raggi, Elena Stanghellini, Marco Doretti
The decomposition of the overall effect of a treatment into direct and indirect effects is here investigated with reference to a recursive system of binary random variables. We sho…
Exact parametric causal mediation analysis for a binary outcome with a binary mediator
Marco Doretti, Martina Raggi, Elena Stanghellini
A parametric expression for causal natural direct and indirect effects is derived for the setting of a binary outcome with a binary mediator. The proposed effect decomposition does…
On marginal and conditional parameters in logistic regression models
Elena Stanghellini, Marco Doretti
A fundamental research question is how much a variation in a covariate influences a binary response variable in a logistic regression model, both directly or through mediators. We…
Parameter identifiability of discrete Bayesian networks with hidden variables
Elizabeth S. Allman, John A. Rhodes, Elena Stanghellini +1
Identifiability of parameters is an essential property for a statistical model to be useful in most settings. However, establishing parameter identifiability for Bayesian networks…
Identification of discrete concentration graph models with one hidden binary variable
Elena Stanghellini, Barbara Vantaggi
Conditions are presented for different types of identifiability of discrete variable models generated over an undirected graph in which one node represents a binary hidden variable…