Receiver operating characteristic curve analysis of clinical risk models

Annals of Thoracic Surgery

Volumn 72, Issue 2, 2001, Pages 323-326

  Grunkemeier, Gary L ^a,b   Jin, Ruyun ^a  

^a EARLE A CHILES RESEARCH INSTITUTE   (United States)

^b NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DEATH; HOSPITALIZATION; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; STATISTICAL ANALYSIS; SURVIVAL; THORAX SURGERY;

EID: 0034904622     PISSN: 00034975     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-4975(01)02870-3     Document Type: Editorial

References (7)

1. Regression modelling strategies for improved prognostic prediction
2. Comparison of logistic regression and Bayesian-based algorithms to estimate posttest probability in patients with suspected coronary artery disease undergoing exercise ECG
3. Future imperfect: The limitations of clinical prediction models and the limits of clinical prediction
4. The meaning and use of the area under a receiver operating characteristic (ROC) curve
5. Signal detectability: The use of ROC curves and their analyses
6. Signal detectability and medical decision-making
7. Receiver operating characteristic (ROC) methodology: The state of the art