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Testing calibration of risk models at extremes of disease risk

Risk-prediction models need careful calibration to ensure they produce unbiased estimates of risk for subjects in the underlying population given their risk-factor profiles. As subjects with extreme high or low risk may be the most affected by knowledge of their risk estimates, checking the adequacy...

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Detalles Bibliográficos
Publicado en:Biostatistics
Main Authors: Song, Minsun, Kraft, Peter, Joshi, Amit D., Barrdahl, Myrto, Chatterjee, Nilanjan
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2015
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4263225/
https://ncbi.nlm.nih.gov/pubmed/25027274
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxu034
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