Time-dependent AUC with right-censored data: A survey

Paul Blanche*, Aurélien Latouche, Vivian Viallon

*Corresponding author for this work
3 Citations (Scopus)

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 timeto- event outcomes, various definitions and estimators have been proposed in the literature. This review article aims at presenting the ones that accommodate to rightcensoring, which is common when evaluating such prognostic markers.

Original languageEnglish
Title of host publicationRisk Assessment and Evaluation of Predictions
EditorsAxel Gandy, Glen Satten, Mitchell Gail, Ruth Pfeiffer, Tianxi Cai, Mei-Ling Ting Lee
Number of pages13
Volume215
PublisherSpringer Science and Business Media, LLC
Publication date1 Jan 2015
Pages239-251
ISBN (Print)9781461489801
DOIs
Publication statusPublished - 1 Jan 2015
EventInternational conference on Risk Assessment and Evaluation of Predictions, 2011 - Silver Spring, United States
Duration: 12 Oct 201114 Oct 2011

Conference

ConferenceInternational conference on Risk Assessment and Evaluation of Predictions, 2011
Country/TerritoryUnited States
CitySilver Spring
Period12/10/201114/10/2011
SponsorCollege of Computer, Mathematical, and Natural Sciences, Division of Cancer Control and Population Sciences at NCI, Division of Research School of Public Health, College of Agriculture and Natural Sciences, Etal, University of Maryland at College Park

Fingerprint

Dive into the research topics of 'Time-dependent AUC with right-censored data: A survey'. Together they form a unique fingerprint.

Cite this