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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...

詳細記述

保存先:
書誌詳細
出版年:Biostatistics
主要な著者: Song, Minsun, Kraft, Peter, Joshi, Amit D., Barrdahl, Myrto, Chatterjee, Nilanjan
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2015
主題:
オンライン・アクセス: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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