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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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Détails bibliographiques
Publié dans:Med Decis Making
Auteurs principaux: Alarid-Escudero, Fernando, MacLehose, Richard F., Peralta, Yadira, Kuntz, Karen M., Enns, Eva A.
Format: Artigo
Langue:Inglês
Publié: 2018
Sujets:
Accès en ligne: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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