Refined methodologies for probabilistic dietary exposure assessment for food contaminants based on the observed individual means methodology
For the first time in the literature, we critically examine a widely used methodology for Probabilistic Dietary Exposure Assessment from a statistical perspective, focusing on the underlying assumptions and their potential violations in real-world scenarios. We then develop techniques to address these violations, providing a more accurate and robust approach to exposure assessment. This work is particularly relevant for risk assessors and managers, since it offers a refined toolset for more precise exposure assessments.
Authors
- Alessia Lanno (ORCID: https://orcid.org/0000-0002-3473-8877)
- Renzo Bagnati (ORCID: https://orcid.org/0000-0002-6535-2686)
- Alessandra Roncaglioni (ORCID: https://orcid.org/0000-0002-1734-0939)
- Elena Fattore (ORCID: https://orcid.org/0000-0003-0556-2291)
- Enrico Davoli (ORCID: https://orcid.org/0000-0003-0933-1351)
- Simone Stefano (ORCID: https://orcid.org/0000-0003-2321-6528)
- Alice Passoni (ORCID: https://orcid.org/0000-0001-6003-5932)
- Sofia Ghironi
Institutions
- Mario Negri Institute for Pharmacological Research (IT)
Publication Details
- Journal
- Journal of Exposure Science & Environmental Epidemiology
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1038/s41370-024-00740-4
- Citations
- 1
- Primary Topic
- Pesticide Residue Analysis and Safety
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Ministero della Salute