评价决策模型的预测能力：超越校准和判别。
Evaluation of prediction models for decision-making: beyond calibration and discrimination.
机构信息
Regional Cancer Center Uppsala Örebro, Uppsala University Hospital, Uppsala, Sweden.
出版信息
PLoS Med. 2013;10(7):e1001491. doi: 10.1371/journal.pmed.1001491. Epub 2013 Jul 30.
Abstract
Lars Holmberg and Andrew Vickers discuss the importance of ensuring prediction models lead to better decision making in light of new research into breast, endometrial, and ovarian cancer risk by Ruth Pfeiffer and colleagues. Please see later in the article for the Editors' Summary.
摘要
拉尔斯·霍尔姆贝里和安德鲁·维克斯讨论了确保预测模型能够带来更好决策的重要性，该研究源于鲁斯·普法伊费尔及其同事对乳腺癌、子宫内膜癌和卵巢癌风险的新研究。请在文章后面查看编辑摘要。
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2
Interpreting diagnostic accuracy studies for patient care.解读用于患者护理的诊断准确性研究。
BMJ. 2012 Jul 2;345:e3999. doi: 10.1136/bmj.e3999.
3
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4
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5
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6
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7
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10
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