Uncertainty and the Value of Information in Risk Prediction Modeling

BACKGROUND: Because of the finite size of the development sample, predicted probabilities from a risk prediction model are inevitably uncertain. We apply value-of-information methodology to evaluate the decision-theoretic implications of prediction uncertainty. METHODS: Adopting a Bayesian perspecti...

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Detalles Bibliográficos
Autores principales: Sadatsafavi, Mohsen, Yoon Lee, Tae, Gustafson, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194963/
https://www.ncbi.nlm.nih.gov/pubmed/35209762
http://dx.doi.org/10.1177/0272989X221078789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194963/
https://www.ncbi.nlm.nih.gov/pubmed/35209762
http://dx.doi.org/10.1177/0272989X221078789

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