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Nonidentifiability in model calibration and implications for medical decision making

BACKGROUND. Calibration is the process of estimating parameters of a mathematical model by matching model outputs to calibration targets. In the presence of nonidentifiability, multiple parameter sets solve the calibration problem, which may have important implications for decision making. We evalua...

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Publicado en:Med Decis Making
Autores principales: Alarid-Escudero, Fernando, MacLehose, Richard F., Peralta, Yadira, Kuntz, Karen M., Enns, Eva A.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2018
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6156799/
https://ncbi.nlm.nih.gov/pubmed/30248276
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0272989X18792283
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