Better Dosing Through Better Error: Residual Error as a Hidden Lever in Model-Informed Precision Dosing
Reducing residual errors in maximum a posteriori Bayesian estimation significantly strengthens the influence of observed data on posterior calculations, improving the precision area under the concentration-time curve and dosing accuracy without requiring additional data acquisition or model redevelopment.
Authors
- Jean‐Baptiste Woillard (ORCID: https://orcid.org/0000-0003-1695-0695)
- Iris K. Minichmayr (ORCID: https://orcid.org/0000-0002-2679-8589)
- Racym Berrah (ORCID: https://orcid.org/0009-0001-6432-2880)
Institutions
- Inserm (FR)
- Université de Limoges (FR)
- Medical University of Vienna (AT)
Publication Details
- Journal
- Therapeutic Drug Monitoring
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1097/ftd.0000000000001413
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche