4 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.…
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…