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

Biometrics

Volumn 70, Issue 1, 2014, Pages 212-223

  Bantis, Leonidas E ^a   Nakas, Christos T ^b   Reiser, Benjamin ^c  

^a UNIVERSITY OF THE AEGEAN   (Greece)

^b UNIVERSITY OF THESSALY   (Greece)

^c UNIVERSITY OF HAIFA   (Israel)

Author keywords

Delta method; Logspline; ROC curve; Sensitivity; Specificity; Youden index

Indexed keywords

STATISTICAL METHODS;

CONFIDENCE INTERVAL; CONFIDENCE REGION; DELTA METHOD; DIAGNOSTIC MARKERS; LOGSPLINE; ROC CURVES; SENSITIVITY; SENSITIVITY AND SPECIFICITY; SPECIFICITY; YOUDEN INDEX;

DECISION MAKING;

DATA ACQUISITION; DECISION MAKING; DISEASE INCIDENCE; ESTIMATION METHOD; HEALTH CARE; PARAMETERIZATION; PUBLIC HEALTH;

BIOLOGICAL MARKER; CA 125 ANTIGEN; CD3 ANTIGEN;

ARTICLE; BLOOD; BRUCELLA; BRUCELLOSIS; COMPUTER SIMULATION; CONFIDENCE INTERVAL; DELTA METHOD; DIAGNOSTIC TEST; HUMAN; ISOLATION AND PURIFICATION; LOGSPLINE; METHODOLOGY; MICROBIOLOGY; PANCREAS TUMOR; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY; SENSITIVITY AND SPECIFICITY; SPECIFICITY; STATISTICAL ANALYSIS; T LYMPHOCYTE; YOUDEN INDEX;

DELTA METHOD; LOGSPLINE; ROC CURVE; SENSITIVITY; SPECIFICITY; YOUDEN INDEX;

ANTIGENS, CD3; BIOLOGICAL MARKERS; BRUCELLA; BRUCELLOSIS; CA-125 ANTIGEN; COMPUTER SIMULATION; CONFIDENCE INTERVALS; DATA INTERPRETATION, STATISTICAL; DIAGNOSTIC TESTS, ROUTINE; HUMANS; PANCREATIC NEOPLASMS; ROC CURVE; SENSITIVITY AND SPECIFICITY; T-LYMPHOCYTES;

EID: 84895867874     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12107     Document Type: Article

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