Time-Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker

ROC curves are a popular method for displaying sensitivity and specificity of a continuous diagnostic marker, X, for a binary disease variable, D. However, many disease outcomes are time dependent, D(t), and ROC curves that vary as a function of time may be more appropriate. A common example of a ti...

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Bibliographic Details
Published in:	Biometrics Vol. 56; no. 2; pp. 337 - 344
Main Authors:	Heagerty, Patrick J., Lumley, Thomas, Pepe, Margaret S.
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.06.2000 International Biometric Society
Subjects:	Accuracy biometry Breast cancer breast neoplasms Breast Neoplasms - diagnosis Breast Neoplasms - mortality Censored data Censorship Cytometry death Discrimination Estimators Female flow cytometry Health outcomes Humans Infections Kaplan Meier estimator Kernel smoothing patients prediction Reliability functions ROC Curve Sample size Sensitivity Sensitivity and Specificity Specificity Survival Analysis Survival Rate Time Factors Treatment Outcome
ISSN:	0006-341X, 1541-0420
Online Access:	Get full text
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