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 ep...

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Detalles Bibliográficos
Autores principales: Alarid-Escudero, Fernando, Knudsen, Amy B., Ozik, Jonathan, Collier, Nicholson, Kuntz, Karen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124835/
https://www.ncbi.nlm.nih.gov/pubmed/35615677
http://dx.doi.org/10.3389/fphys.2022.780917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124835/
https://www.ncbi.nlm.nih.gov/pubmed/35615677
http://dx.doi.org/10.3389/fphys.2022.780917

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