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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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| Pubblicato in: | Med Decis Making |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | 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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