Empirical calibration of a simulation model of opioid use disorder
The proposed empirical calibration approach is an efficient tool for approximating parameter distributions of complex models, especially under complete uncertainty. Empirically calibrated parameters can be used as a starting point for a more comprehensive calibration exercise, e.g., to inform priors of a Bayesian calibration. The calibrated RESPOND model can be used to improve shared decision-making for OUD.
Authors
- R. W. M. A. Madushani
- Stavroula A. Chrysanthopoulou (ORCID: https://orcid.org/0000-0001-5580-4397)
- Benjamin P. Linas (ORCID: https://orcid.org/0000-0002-9781-9690)
- Michelle Weitz
- Laura F. White (ORCID: https://orcid.org/0000-0002-0588-8235)
- Jianing Wang (ORCID: https://orcid.org/0000-0003-4709-3091)
Institutions
- Boston University (US)
- Boston Medical Center (US)
- Brown University (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1371/journal.pone.0310763
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute on Drug Abuse
- National Institute of General Medical Sciences