Time-dependent ROC curves for censored survival data and a diagnostic marker.

@article{Heagerty2000TimedependentRC,
  title={Time-dependent ROC curves for censored survival data and a diagnostic marker.},
  author={Patrick J. Heagerty and Thomas Lumley and Margaret Sullivan Pepe},
  journal={Biometrics},
  year={2000},
  volume={56 2},
  pages={
          337-44
        }
}
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 time-dependent variable is vital status, where D(t) = 1 if a patient has died prior to time t and zero otherwise. We propose summarizing the discrimination potential of a marker X, measured at baseline… Expand
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