Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.
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DOI：
10.1002/sim.4085
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发表时间：
2011-01-15
影响因子：
2
通讯作者：
Steyerberg, Ewout W.
中科院分区：
文献类型：
--
作者：
Pencina, Michael J.;D'Agostino, Ralph B., Sr.;Steyerberg, Ewout W.
风险预测算法中包含的新标记物提供的额外有用性的适当量化是一个积极研究和辩论的问题。标准方法，包括统计显著性和c统计量是有用的，但还不够。净重新分类改进（NRI）提供了一种简单直观的方法来量化新标记所提供的改进，并在研究人员中越来越受欢迎。然而，NRI的几个方面还没有得到足够详细的研究。在本文中，我们提出了一个前瞻性的制定NRI提供直接应用到生存和竞争的风险数据，以及允许很容易与观察到的或感知的成本加权。我们解决的问题的数量和类别的选择及其对NRI的影响。我们将基于类别的NRI与无类别的NRI进行了对比，并得出结论，除非以相同的方式定义NRI，否则无法在研究中进行比较。我们讨论了当模型应用于不同样本或事件定义时不同事件率的影响，以及研究之间的随访持续时间不同。我们还展示了如何NRI可以应用于病例对照数据。本文中提出的概念是在一个心脏研究的例子说明。总之，NRI可以很容易地计算生存率，竞争风险和病例对照数据，是更客观和可比的研究使用无分类的版本，并可以包括相对成本的分类。我们建议研究人员在选择NRI应用时明确定义并证明他们所做的选择。
Appropriate quantification of added usefulness offered by new markers included in risk prediction algorithms is a problem of active research and debate. Standard methods, including statistical significance and c statistic are useful but not sufficient. Net reclassification improvement (NRI) offers a simple intuitive way of quantifying improvement offered by new markers and has been gaining popularity among researchers. However, several aspects of the NRI have not been studied in sufficient detail. In this paper we propose a prospective formulation for the NRI which offers immediate application to survival and competing risk data as well as allows for easy weighting with observed or perceived costs. We address the issue of the number and choice of categories and their impact on NRI. We contrast category-based NRI with one which is category-free and conclude that NRIs cannot be compared across studies unless they are defined in the same manner. We discuss the impact of differing event rates when models are applied to different samples or definitions of events and durations of follow-up vary between studies. We also show how NRI can be applied to case-control data. The concepts presented in the paper are illustrated in a Framingham Heart Study example. In conclusion, NRI can be readily calculated for survival, competing risk, and case-control data, is more objective and comparable across studies using the category-free version, and can include relative costs for classifications. We recommend that researchers clearly define and justify the choices they make when choosing NRI for their application.
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衡量心血管风险的个体预测因素的影响的进步：重新分类措施的作用。
影响因子：
39.2
作者：
Cook NR;Ridker PM
通讯作者：
Ridker PM
影响因子：
2
作者：
Pencina, MJ;D'Agostino, RB
通讯作者：
D'Agostino, RB
DOI：
10.1126/science.ns-4.93.453-a
发表时间：
1884-11-14
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Peirce, C S
通讯作者：
Peirce, C S
影响因子：
37.8
作者：
Cook, Nancy R.
通讯作者：
Cook, Nancy R.
影响因子：
2.7
作者：
Huang, Ying;Pepe, Margaret Sullivan
通讯作者：
Pepe, Margaret Sullivan