This is a two faces paper. Firstly, it investigates diagnostic tests in situations when the observed variables are functional, that is, diagnostic tests that use functional variables as biomarkers. A procedure based on functional version of ROC analysis is proposed, the main question being linked with a suitable way for ranking the sample of functional data. The second facet of this paper is to present a general new way for ordering functional data in a self-contained way allowing for a wide scope of applications overpassing the former diagnostic test problem. Finite sample analysis highlight how this ranking procedure behaves for diagnostic test.

中文翻译：

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通过诊断测试中的应用对功能数据进行排名的新方法

这是两面纸。首先，它在观察到的变量起作用的情况下研究诊断测试，即使用功能变量作为生物标记的诊断测试。提出了一种基于ROC分析功能版本的程序，主要问题与一种用于对功能数据样本进行排名的合适方法相关联。本文的第二个方面是提出一种通用的新方法，以一种独立的方式对功能数据进行排序，从而使广泛的应用范围能够超越以前的诊断测试问题。有限的样本分析突出了此排名程序在诊断测试中的表现。