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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...
Autores principales: | Sadatsafavi, Mohsen, Yoon Lee, Tae, Gustafson, Paul |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
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 |
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