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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Bibliografski detalji

Glavni autori:	Wayne Wakeland, Jack Homer
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-11-01
Serija:	Systems
Teme:	simulation model uncertainty analysis optimization sensitivity testing Monte Carlo randomization opioid epidemic
Online pristup:	https://www.mdpi.com/2079-8954/10/6/225
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