Rotation survival forest for right censored data
School of Mathematics and Statistics, Central South University, Changsha, China
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Statistics
- Keywords
- survival analysis, censored data, survival ensemble, medical decision making
- Copyright
- © 2015 Zhou et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. Rotation survival forest for right censored data. PeerJ PrePrints 3:e1086v1 https://doi.org/10.7287/peerj.preprints.1086v1
Abstract
Recently, survival ensembles have found more and more applications in biological and medical research when censored time-to-event data are often confronted. In this research, we investigate the plausibility of extending rotation forest, originally proposed for classification purpose, to survival analysis. Supported by the proper statistical analysis, we show that rotation survival forests are able to outperform the state-of-art survival ensembles on right censored data. We also provide a C-index based variable importance measure for evaluating covariates in censored survival data.
Author Comment
This is a revised version of a submission to PeerJ for review.