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Time-Dependent AUC with Right-Censored Data: A Survey

  • Paul BlancheEmail author
  • Aurélien Latouche
  • Vivian Viallon
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 215)

Abstract

The ROC curve and the corresponding AUC are popular tools for the evaluation of diagnostic tests. They have been recently extended to assess prognostic markers and predictive models. However, due to the many particularities of time-to-event outcomes, various definitions and estimators have been proposed in the literature. This review article aims at presenting the ones that accommodate to right-censoring, which is common when evaluating such prognostic markers.

Keywords

False Positive Rate Empirical Distribution Function Primary Estimate Spline Basis Function Conditional Survival Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Paul Blanche
    • 1
    Email author
  • Aurélien Latouche
    • 2
  • Vivian Viallon
    • 3
  1. 1.University of Bordeaux, ISPED and INSERM U897BordeauxFrance
  2. 2.Conservatoire national des arts et métiersParisFrance
  3. 3.UMRESTTE (Univ. Lyon 1 and IFSTTAR)BronFrance

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