Understanding multimorbidity: insights with graphical models
Graphical models are a versatile tool for analyzing multimorbidity, offering insights into disease associations while controlling for the effects of other variables. This paper provides an overview of graphical models without focusing on detailed methodology, highlighting their utility in understanding network structures and potential subgroup differences, such as gender-related variations in multimorbidity patterns.
Authors
- Giovanna Boccuzzo (ORCID: https://orcid.org/0000-0003-2143-7730)
- Alessandra Buja (ORCID: https://orcid.org/0000-0003-2216-3807)
- Erika Banzato (ORCID: https://orcid.org/0000-0002-2137-9166)
- Alberto Roverato (ORCID: https://orcid.org/0000-0001-7984-3593)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s12874-025-02536-y
- Citations
- 1
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- European Commission
- Università degli Studi di Padova
- Ministero dell'Università e della Ricerca