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Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework
Cancer prediction models are becoming ubiquitous, yet we generally have no idea whether they do more good than harm. This is because current statistical methods for evaluating prediction models are uninformative as to their clinical value. Prediction models are typically evaluated in terms of discri...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2857322/ https://ncbi.nlm.nih.gov/pubmed/20172362 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1053/j.seminoncol.2009.12.004 |
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