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Methods for evaluating novel biomarkers - a new paradigm.

作者信息

Cook N R

机构信息

Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Int J Clin Pract. 2010 Dec;64(13):1723-7. doi: 10.1111/j.1742-1241.2010.02469.x.

DOI:10.1111/j.1742-1241.2010.02469.x
PMID:21070520
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3057673/
Abstract
摘要

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本文引用的文献

1
Reclassification calculations for persons with incomplete follow-up.对随访不完整者的重新分类计算。
Ann Intern Med. 2010 Feb 2;152(3):195-6; author reply 196-7. doi: 10.7326/0003-4819-152-3-201002020-00019.
2
C-reactive protein and reclassification of cardiovascular risk in the Framingham Heart Study.弗雷明汉心脏研究中C反应蛋白与心血管风险重新分类
Circ Cardiovasc Qual Outcomes. 2008 Nov;1(2):92-7. doi: 10.1161/CIRCOUTCOMES.108.831198. Epub 2008 Nov 9.
3
Biomarkers for prediction of cardiovascular events.用于预测心血管事件的生物标志物。
JAMA. 2009 Nov 18;302(19):2089; author reply 2090. doi: 10.1001/jama.2009.1636.
4
Novel and conventional biomarkers for prediction of incident cardiovascular events in the community.用于预测社区中心血管事件发生的新型和传统生物标志物。
JAMA. 2009 Jul 1;302(1):49-57. doi: 10.1001/jama.2009.943.
5
Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures.心血管风险个体预测因素效应测量的进展：重新分类测量的作用。
Ann Intern Med. 2009 Jun 2;150(11):795-802. doi: 10.7326/0003-4819-150-11-200906020-00007.
6
C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men.C反应蛋白和家族病史可改善总体心血管风险预测：男性的雷诺兹风险评分
Circulation. 2008 Nov 25;118(22):2243-51, 4p following 2251. doi: 10.1161/CIRCULATIONAHA.108.814251. Epub 2008 Nov 9.
7
Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929).对M. J. 彭西纳等人发表于《医学统计学》（DOI: 10.1002/sim.2929）的《评估新标志物的附加预测能力：从ROC曲线下面积到重新分类及其他》的评论
Stat Med. 2008 Jan 30;27(2):173-81. doi: 10.1002/sim.2991.
8
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.评估新标志物的附加预测能力：从ROC曲线下面积到重新分类及其他。
Stat Med. 2008 Jan 30;27(2):157-72; discussion 207-12. doi: 10.1002/sim.2929.
9
Use and misuse of the receiver operating characteristic curve in risk prediction.风险预测中受试者工作特征曲线的应用与误用
Circulation. 2007 Feb 20;115(7):928-35. doi: 10.1161/CIRCULATIONAHA.106.672402.
10
Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score.女性全球心血管风险评估改良算法的开发与验证：雷诺兹风险评分
JAMA. 2007 Feb 14;297(6):611-9. doi: 10.1001/jama.297.6.611.