Standard
Time-dependent AUC with right-censored data : A survey. / Blanche, Paul; Latouche, Aurélien; Viallon, Vivian.
Risk Assessment and Evaluation of Predictions. ed. / Axel Gandy; Glen Satten; Mitchell Gail; Ruth Pfeiffer; Tianxi Cai; Mei-Ling Ting Lee. Vol. 215 Springer Science and Business Media, LLC, 2015. p. 239-251.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Blanche, P, Latouche, A & Viallon, V 2015,
Time-dependent AUC with right-censored data: A survey. in A Gandy, G Satten, M Gail, R Pfeiffer, T Cai & M-LT Lee (eds),
Risk Assessment and Evaluation of Predictions. vol. 215, Springer Science and Business Media, LLC, pp. 239-251, International conference on Risk Assessment and Evaluation of Predictions, 2011, Silver Spring, United States,
12/10/2011.
https://doi.org/10.1007/978-1-4614-8981-8_11
APA
Blanche, P., Latouche, A., & Viallon, V. (2015).
Time-dependent AUC with right-censored data: A survey. In A. Gandy, G. Satten, M. Gail, R. Pfeiffer, T. Cai, & M-L. T. Lee (Eds.),
Risk Assessment and Evaluation of Predictions (Vol. 215, pp. 239-251). Springer Science and Business Media, LLC.
https://doi.org/10.1007/978-1-4614-8981-8_11
Vancouver
Blanche P, Latouche A, Viallon V.
Time-dependent AUC with right-censored data: A survey. In Gandy A, Satten G, Gail M, Pfeiffer R, Cai T, Lee M-LT, editors, Risk Assessment and Evaluation of Predictions. Vol. 215. Springer Science and Business Media, LLC. 2015. p. 239-251
https://doi.org/10.1007/978-1-4614-8981-8_11
Author
Blanche, Paul ; Latouche, Aurélien ; Viallon, Vivian. / Time-dependent AUC with right-censored data : A survey. Risk Assessment and Evaluation of Predictions. editor / Axel Gandy ; Glen Satten ; Mitchell Gail ; Ruth Pfeiffer ; Tianxi Cai ; Mei-Ling Ting Lee. Vol. 215 Springer Science and Business Media, LLC, 2015. pp. 239-251
Bibtex
@inproceedings{d95948a4fb994af39cf36166459fae0c,
title = "Time-dependent AUC with right-censored data: A survey",
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.",
author = "Paul Blanche and Aur{\'e}lien Latouche and Vivian Viallon",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-1-4614-8981-8_11",
language = "English",
isbn = "9781461489801",
volume = "215",
pages = "239--251",
editor = "Axel Gandy and Glen Satten and Mitchell Gail and Ruth Pfeiffer and Tianxi Cai and Lee, {Mei-Ling Ting}",
booktitle = "Risk Assessment and Evaluation of Predictions",
publisher = "Springer Science and Business Media, LLC",
note = "International conference on Risk Assessment and Evaluation of Predictions, 2011 ; Conference date: 12-10-2011 Through 14-10-2011",
}
RIS
TY - GEN
T1 - Time-dependent AUC with right-censored data
T2 - International conference on Risk Assessment and Evaluation of Predictions, 2011
AU - Blanche, Paul
AU - Latouche, Aurélien
AU - Viallon, Vivian
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
U2 - 10.1007/978-1-4614-8981-8_11
DO - 10.1007/978-1-4614-8981-8_11
M3 - Article in proceedings
AN - SCOPUS:84945894510
SN - 9781461489801
VL - 215
SP - 239
EP - 251
BT - Risk Assessment and Evaluation of Predictions
A2 - Gandy, Axel
A2 - Satten, Glen
A2 - Gail, Mitchell
A2 - Pfeiffer, Ruth
A2 - Cai, Tianxi
A2 - Lee, Mei-Ling Ting
PB - Springer Science and Business Media, LLC
Y2 - 12 October 2011 through 14 October 2011
ER -
