6 citations · 6 across the 7 of their papers we have counts for
7 papers
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.…
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…
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,…
A multiscale Bayesian nonparametric framework for partial hierarchical clustering
Lorenzo Schiavon, Mattia Stival
In recent years, there has been a growing demand to discern clusters of subjects in datasets characterized by a large set of features. Often, these clusters may be highly variable…
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…
Missing data patterns in runners' careers: do they matter?
Mattia Stival, Mauro Bernardi, Manuela Cattelan +1
Predicting the future performance of young runners is an important research issue in experimental sports science and performance analysis. We analyse a data set with annual seasona…
Doubly-online changepoint detection for monitoring health status during sports activities
Mattia Stival, Mauro Bernardi, Petros Dellaportas
We provide an online framework for analyzing data recorded by smart watches during running activities. In particular, we focus on identifying variations in the behavior of one or m…