当前位置: X-MOL 学术Commun. Stat. Simul. Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve
Communications in Statistics - Simulation and Computation ( IF 0.9 ) Pub Date : 2020-03-30 , DOI: 10.1080/03610918.2020.1742354
Robab Ahmadian 1 , Ilker Ercan 1 , Deniz Sigirli 1 , Abdulmecit Yildiz 2
Affiliation  

Abstract

In any clinical case, a decision is made with the maximum possible accuracy. To achieve such accuracy, in the presence of multiple diagnostic tests or biomarkers, biomarker combinations aim to achieve maximum accuracy. As existing biomarker combination methods combine only continuous biomarkers, therefore in this study biomarker combination for binary biomarkers was created by suggesting an approach using Youden’s J statistic for combining binary biomarkers. The proposed approach will facilitate binary and continuous biomarker combinations. A simulation study was conducted to compare the performance of our proposed combination approach according to different sample sizes. Both in the analysis of real data and the simulation studies for different samples, the proposed approach has been shown to yield favorable results and higher area under the curve.



中文翻译:

通过最大化接收者操作特征曲线下的面积来组合二元和连续生物标志物

摘要

在任何临床案例中,都会以尽可能高的准确性做出决定。为了达到这样的准确性,在存在多种诊断测试或生物标志物的情况下,生物标志物组合旨在实现最大的准确性。由于现有的生物标志物组合方法仅结合连续的生物标志物,因此在本研究中,通过提出一种使用 Youden 的 J 统计量来组合二元生物标志物的方法来创建二元生物标志物的生物标志物组合。所提出的方法将促进二元和连续生物标志物组合。进行了一项模拟研究,以根据不同的样本量比较我们提出的组合方法的性能。在对真实数据的分析和不同样本的模拟研究中,

更新日期:2020-03-30
down
wechat
bug