Characterization and Valuation of the Uncertainty of Calibrated Parameters in Microsimulation Decision Models

Characterization and Valuation of the Uncertainty of Calibrated Parameters in Microsimulation Decision Models

Background: We evaluated the implications of different approaches to characterize the uncertainty of calibrated parameters of microsimulation decision models (DMs) and quantified the value of such uncertainty in decision making.Methods: We calibrated the natural history model of CRC to simulated epi...

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Bibliographic Details
Main Authors: Fernando Alarid-Escudero, Amy B. Knudsen, Jonathan Ozik, Nicholson Collier, Karen M. Kuntz
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Physiology
Subjects:
microsimulation models
uncertainty quantification
calibration
Bayesian
value of information analysis
decision-analytic models
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.780917/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.780917/full

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