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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2021
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| Materias: | |
| 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 |