Addressing Parameter Uncertainty in a Health Policy Simulation Model Using Monte Carlo Sensitivity Methods

Addressing Parameter Uncertainty in a Health Policy Simulation Model Using Monte Carlo Sensitivity Methods

We present a practical guide and step-by-step flowchart for establishing uncertainty intervals for key model outcomes in a simulation model in the face of uncertain parameters. The process starts with Powell optimization to find a set of uncertain parameters (the optimum parameter set or OPS) that m...

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Bibliographic Details
Main Authors: Wayne Wakeland, Jack Homer
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Systems
Subjects:
simulation model
uncertainty analysis
optimization
sensitivity testing
Monte Carlo randomization
opioid epidemic
Online Access:https://www.mdpi.com/2079-8954/10/6/225

Internet

https://www.mdpi.com/2079-8954/10/6/225

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