Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy
详细信息 查看全文
- 作者：Tu Xu ; Yixin Fang ; Alan Rong ; Junhui Wang
- 关键词：Biomarker ; Diagnostic accuracy ; Margin ; Receiver operating characteristic curve ; Reproducing kernel Hilbert space ; Youden index
- 刊名：BMC Medical Research Methodology
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：15
- 期：1
- 全文大小：708 KB
- 刊物主题：Theory of Medicine/Bioethics; Statistical Theory and Methods; Statistics for Life Sciences, Medicine, Health Sciences;
- 出版者：BioMed Central
- ISSN：1471-2288
文摘
Background In medical research, it is common to collect information of multiple continuous biomarkers to improve the accuracy of diagnostic tests. Combining the measurements of these biomarkers into one single score is a popular practice to integrate the collected information, where the accuracy of the resultant diagnostic test is usually improved. To measure the accuracy of a diagnostic test, the Youden index has been widely used in literature. Various parametric and nonparametric methods have been proposed to linearly combine biomarkers so that the corresponding Youden index can be optimized. Yet there seems to be little justification of enforcing such a linear combination.