most citedA Bayesian approach to uncover local and temporal determinants of heterogeneity in repeated cross-sectional health surveys

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2025

Topic-informed dynamic mixture model for occupational heterogeneity in health risk behaviors

Lorenzo Schiavon, Mattia Stival, Angela Andreella +1

Behavioral risk factors, i.e., smoking, poor nutrition, alcohol misuse, and physical inactivity (SNAP), are leading contributors to chronic diseases and healthcare costs worldwide.…

stat.AP2025

The Perceived Impact of Environment on Health in Italy: a Penalized Ordinal Regression Approach

Mattia Stival, Angela Andreella, Gaia Bertarelli +3

Understanding how individuals perceive their living environment is a complex task, as it reflects both personal and contextual determinants. In this paper, we address this task by…

stat.OT2025

Communicating complex statistical models to a public health audience: translating science into action with the FARSI approach

Mattia Stival, Lorenzo Schiavon, Gaia Bertarelli +1

Background. Effectively communicating complex statistical model outputs is a major challenge in public health. This study introduces the FARSI approach (Fast, Accessible, Reliable,…

stat.AP2024

A two-step model to study the inclusivity's distribution of Italian early childhood education and care services

Angela Andreella, Gaia Bertarelli, Federico Caldura +1

This study investigates how to define and measure inclusivity in Italy's early childhood education and care (ECEC) services, bringing to light the gap between legislative principle…

stat.AP2024★ 6 cited

A Bayesian approach to uncover local and temporal determinants of heterogeneity in repeated cross-sectional health surveys

Mattia Stival, Lorenzo Schiavon, Stefano Campostrini

In several countries, including Italy, a prominent approach to population health surveillance involves conducting repeated cross-sectional surveys at short intervals of time. These…