Recalibration Methods for Improved Clinical Utility of Risk Scores

BACKGROUND: An established risk model may demonstrate miscalibration, meaning predicted risks do not accurately capture event rates. In some instances, investigators can identify and address the cause of miscalibration. In other circumstances, it may be appropriate to recalibrate the risk model. Exi...

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Detalles Bibliográficos
Autores principales: Mishra, Anu, McClelland, Robyn L., Inoue, Lurdes Y. T., Kerr, Kathleen F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977399/
https://www.ncbi.nlm.nih.gov/pubmed/34605718
http://dx.doi.org/10.1177/0272989X211044697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977399/
https://www.ncbi.nlm.nih.gov/pubmed/34605718
http://dx.doi.org/10.1177/0272989X211044697

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