Testing the incremental predictive accuracy of new markers

Clinical Trials

Volumn 10, Issue 5, 2013, Pages 690-692

  Begg, Colin B ^a   Gonen, Mithat ^a   Seshan, Venkatraman E ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MARKER;

ACCURACY; AREA UNDER THE CURVE; CONFERENCE PAPER; CORRELATION ANALYSIS; EXAMINATION; HUMAN; INFORMATION; PREDICTIVE VALUE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SIMULATION; SYSTEMATIC ERROR; VALIDITY;

BIOLOGICAL MARKERS; CLINICAL TRIALS AS TOPIC; HUMANS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; ROC CURVE;

EID: 84886927002     PISSN: 17407745     EISSN: 17407753     Source Type: Journal    
DOI: 10.1177/1740774513496490     Document Type: Conference Paper

References (5)

1. Vickers AJ, Cronin AM, Begg CB. One statistical test is sufficient for assessing new predictive markers. BMC Med Res Methodol. 2011 ; 11: 13
2. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics. 1988 ; 44: 837-45
3. Venkatraman ES, Begg CB. A distribution-free procedure for comparing receiver operating characteristic curves from a paired experiment. Biometrika. 1996 ; 83: 835-48
4. Pencina MJ, D'Agostino RB, D'Agostino RB, et al. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med. 2008 ; 27: 157-72
5. Seshan VE, Gönen M, Begg CB. Comparing ROC curves derived from regression models. Stat Med. 2013 ; 32: 1483-93