Receiver operating characteristics curves and related decision measures: A tutorial

Receiver operating characteristics curves and related decision measures: A tutorial
复制标题

DOI:
10.1016/j.chemolab.2005.05.004
复制
发表时间:
2006-01-20
影响因子:
3.9
通讯作者:
Davis, HT
Davis, HT
中科院分区:
计算机科学3区
文献类型:
--
作者:
Brown, CD;Davis, HT

文献摘要

被引文献

相似文献

用于数据简化和分析的化学计量学和统计工具比比皆是,但大多数分析工作的最终目标是根据数据做出明智的决策。决策理论提供了一些高度指导性和直观的工具来弥合数据和最优决策之间的差距。本教程以用户为中心介绍接收器操作员特征曲线,以及相关的度量,如预测值,似然比和成本曲线。讨论了在这些工具之间进行选择的重要考虑因素,以及确定各种措施的置信区间的主要方法。许多工作的例子说明了计算,他们的解释和潜在的缺点。(c)2005 Elsevier B.V.保留所有权利。
Chemometric and statistical tools for data reduction and analysis abound, but the end objective of most analytical undertakings is to make informed decisions based on the data. Decision theory provides some highly instructive and intuitive tools to bridge the gap between data and optimal decisions. This tutorial provides a user-centric introduction to receiver operator characteristic curves, and related measures such as predictive values, likelihood ratios, and cost curves. Important considerations for choosing between these tools are discussed, as well as the primary methods for determining confidence intervals on the various measures. Numerous worked examples illustrate the calculations, their interpretation and potential drawbacks. (c) 2005 Elsevier B.V. All rights reserved.