To t-Test or Not to t-Test? A p-Values-Based Point of View in the Receiver Operating Characteristic Curve Framework.
To t-Test or Not to t-Test? A p-Values-Based Point of View in the Receiver Operating Characteristic Curve Framework.
复制标题
进行 t 检验还是不进行 t 检验？
DOI：
10.1089/cmb.2017.0216
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Yu,Jihnhee
中科院分区：
文献类型：
--
作者：
Vexler,Albert;Yu,Jihnhee
许多入门课程和教科书所支持的一个共同的统计理论是，基于正态分布数据点的att-test类型程序预计将提供决策标准。为了激励学者研究这一惯例，我们介绍了一个简单的方法，基于图形工具的受试者工作特征（ROC）曲线分析，一个完善的生物统计学方法。在这种情况下，我们建议采用基于ap值的方法，考虑到p值的随机性。我们专注于现代统计文献，以解决期望p值（EPV）作为衡量决策规则的性能。在我们的研究过程中，我们将EPV概念扩展到ROC曲线技术。这提供了广泛的测试机制属性的表达性评估和可视化。我们表明，传统的电源特性的测试是一个部分方面的EPV/ROC技术。我们希望这种解释的EPV/ROC方法说服研究人员的有用性的EPV/ROC方法描绘不同的特征的决策程序，鉴于越来越多的兴趣，关于正确的p值为基础的应用程序。
A common statistical doctrine supported by many introductory courses and textbooks is thatt-test type procedures based on normally distributed data points are anticipated to provide a standard in decision-making. In order to motivate scholars to examine this convention, we introduce a simple approach based on graphical tools of receiver operating characteristic (ROC) curve analysis, a well-established biostatistical methodology. In this context, we propose employing ap-values-based method, taking into account the stochastic nature ofp-values. We focus on the modern statistical literature to address the expectedp-value (EPV) as a measure of the performance of decision-making rules. During the course of our study, we extend the EPV concept to be considered in terms of the ROC curve technique. This provides expressive evaluations and visualizations of a wide spectrum of testing mechanisms' properties. We show that the conventional power characterization of tests is a partial aspect of the presented EPV/ROC technique. We desire that this explanation of the EPV/ROC approach convinces researchers of the usefulness of the EPV/ROC approach for depicting different characteristics of decision-making procedures, in light of the growing interest regarding correctp-values-based applications.