Construction of confidence regions in the ROC space after the estimation of the optimal Youden index‐based cut‐off point

• Published in: Biometrics Vol. 70; no. 1; pp. 212 - 223
• Main Authors: Bantis, Leonidas E, Nakas, Christos T, Reiser, Benjamin
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishers 01.03.2014; Blackwell Publishing Ltd; International Biometric Society
• Subjects: Bioinformatics; biomarkers; Biomarkers - analysis; BIOMETRIC PRACTICE; Biometrics; biometry; Brucella - isolation & purification; Brucellosis; Brucellosis - blood; Brucellosis - microbiology; CA-125 Antigen - blood; CD3 Complex - blood; Computer Simulation; Confidence interval; Confidence Intervals; Covariance matrices; Data Interpretation, Statistical; decision making; Delta method; Diagnostic Tests, Routine - methods; Gaussian distributions; Humans; Logspline; Maximum likelihood estimation; Pancreatic Neoplasms - blood; Parameter estimation; Rectangles; ROC Curve; Sample size; Sensitivity; Sensitivity and Specificity; Simulations; Specificity; Statistical discrepancies; T-Lymphocytes - microbiology; Youden index; Sensitivity; Specificity; Youden index; Logspline; ROC curve; Delta method
• ISSN: 0006-341X; 1541-0420; 1541-0420
• DOI: 10.1111/biom.12107

After establishing the utility of a continuous diagnostic marker investigators will typically address the question of determining a cut‐off point which will be used for diagnostic purposes in clinical decision making. The most commonly used optimality criterion for cut‐off point selection in the con...