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Understanding the value of individualized information: the impact of poor calibration or discrimination in outcome prediction models

PURPOSE: Risk prediction models allow incorporation of individualized risk and clinical effectiveness information to identify patients for whom therapy is most appropriate and cost-effective. This approach has the potential to identify inefficient (or harmful) care in subgroups at different risks ev...

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Bibliographische Detailangaben
Veröffentlicht in:Med Decis Making
Hauptverfasser: Olchanski, Natalia, Cohen, Joshua T., Neumann, Peter J., Wong, John B., Kent, David
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5577366/
https://ncbi.nlm.nih.gov/pubmed/28399375
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0272989X17704855
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