ArticleStatistics in medicine2021
The length of the receiver operating characteristic curve and the two cutoff Youden index within a robust framework for discovery, evaluation, and cutoff estimation in biomarker studies involving improper receiver operating characteristic curves.
Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A Retrospective Study of a Postoperative Inflammation-Based Score for Predicting Disease-Free Survival in Locally Advanced Rectal Cancer After Neoadjuvant Chemoradiotherapy.Cancer management and research · 2026Article
- Combining multiple biomarkers linearly to minimize the Euclidean distance of the closest point on the receiver operating characteristic surface to the perfection corner in trichotomous settings.Statistical methods in medical research · 2024Article
- Biomarkers From Discovery to Clinical Application: In Silico Pre-Clinical Validation Approach in the Face of Lung Cancer.Biomarker insights · 2024Article
- The diagnostic likelihood ratio function and modified test for trend: Identifying, evaluating, and validating nontraditional biomarkers in case-control studies.Statistics in medicine · 2023Article
- Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer.Scientific reports · 2023Article
- Novel Preoperative Type IV Collagen to Predict the Risk of Hepatocellular Carcinoma in Patients with Hepatitis B Virus-Related Cirrhotic Portal Hypertension After Laparoscopic Splenectomy and Azygoportal Disconnection.Journal of hepatocellular carcinoma · 2023Article
- The clinical meaning of the area under a receiver operating characteristic curve for the evaluation of the performance of disease markers.Epidemiology and health · 2022Article
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Authors and funding
6 authors.
Funding
Abstract
During the early stage of biomarker discovery, high throughput technologies allow for simultaneous input of thousands of biomarkers that attempt to discriminate between healthy and diseased subjects. In such cases, proper ranking of biomarkers is highly important. Common measures, such as the area under the receiver operating characteristic (ROC) curve (AUC), as well as affordable sensitivity and specificity levels, are often taken into consideration. Strictly speaking, such measures are appropriate under a stochastic ordering assumption, which implies, without loss of generality, that higher measurements are more indicative for the disease. Such an assumption is not always plausible and may lead to rejection of extremely useful biomarkers at this early discovery stage. We explore the length of a smooth ROC curve as a measure for biomarker ranking, which is not subject to directionality. We show that the length corresponds to a
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