ROC‐guided survival trees and ensembles. Issue 4 (6th January 2020)
- Record Type:
- Journal Article
- Title:
- ROC‐guided survival trees and ensembles. Issue 4 (6th January 2020)
- Main Title:
- ROC‐guided survival trees and ensembles
- Authors:
- Sun, Yifei
Chiou, Sy Han
Wang, Mei‐Cheng - Abstract:
- Abstract: Tree‐based methods are popular nonparametric tools in studying time‐to‐event outcomes. In this article, we introduce a novel framework for survival trees and ensembles, where the trees partition the dynamic survivor population and can handle time‐dependent covariates. Using the idea of randomized tests, we develop generalized time‐dependent receiver operating characteristic (ROC) curves for evaluating the performance of survival trees. The tree‐building algorithm is guided by decision‐theoretic criteria based on ROC, targeting specifically for prediction accuracy. To address the instability issue of a single tree, we propose a novel ensemble procedure based on averaging martingale estimating equations, which is different from existing methods that average the predicted survival or cumulative hazard functions from individual trees. Extensive simulation studies are conducted to examine the performance of the proposed methods. We apply the methods to a study on AIDS for illustration.
- Is Part Of:
- Biometrics. Volume 76:Issue 4(2020)
- Journal:
- Biometrics
- Issue:
- Volume 76:Issue 4(2020)
- Issue Display:
- Volume 76, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 76
- Issue:
- 4
- Issue Sort Value:
- 2020-0076-0004-0000
- Page Start:
- 1177
- Page End:
- 1189
- Publication Date:
- 2020-01-06
- Subjects:
- concordance index -- risk prediction -- ROC curve -- time‐dependent covariate -- tree‐based method
Biometry -- Periodicals
570.15195 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1111/biom.13213 ↗
- Languages:
- English
- ISSNs:
- 0006-341X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2088.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15039.xml