A New Test for Assessing the Covariate Effect in ROC Curves.

IF 1.8 4区医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Statistics in Medicine Pub Date : 2025-10-01 DOI:10.1002/sim.70284

Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Wenceslao González-Manteiga

引用次数: 0

Abstract

The ROC curve is a statistical tool that analyzes the accuracy of a diagnostic test in which a variable is used to decide whether an individual is healthy or not. Along with that diagnostic variable, it is usual to have information on some other covariates. In some situations, it is advisable to incorporate that information into the study, as the performance of the ROC curves can be affected by them. Using the covariate-adjusted, the covariate-specific, or the pooled ROC curves, we discuss the implications of excluding or including the covariates in the analysis. Motivated by the above, a new test for comparing the covariate-adjusted and the pooled ROC curve is proposed, and the problem is illustrated by analyzing a real database.

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评估ROC曲线协变量效应的新检验。

ROC曲线是一种统计工具，用于分析诊断测试的准确性，其中一个变量用于确定个体是否健康。除了诊断变量之外，通常还需要一些其他协变量的信息。在某些情况下，将这些信息纳入研究是可取的，因为ROC曲线的性能可能受到它们的影响。使用协变量调整、协变量特异性或合并的ROC曲线，我们讨论了在分析中排除或包含协变量的含义。在此基础上，提出了一种比较协变量调整后的ROC曲线与合并后的ROC曲线的新检验方法，并通过对一个真实数据库的分析说明了该问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Statistics in Medicine 医学-公共卫生、环境卫生与职业卫生

CiteScore

3.40

自引率

10.00%

发文量

334

审稿时长

2-4 weeks

期刊介绍： The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.