Rotation survival forest for right censored data
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 a rotation forest, originally proposed for classification purpose, to survival a...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2015-06-01
|
| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/1009.pdf |
| _version_ | 1827606024013479936 |
|---|---|
| author | Lifeng Zhou Qingsong Xu Hong Wang |
| author_facet | Lifeng Zhou Qingsong Xu Hong Wang |
| author_sort | Lifeng Zhou |
| collection | DOAJ |
| description | 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 a 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. |
| first_indexed | 2024-03-09T06:31:09Z |
| format | Article |
| id | doaj.art-88385a7cecbf4c9298ad9dfe40c7eef5 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:31:09Z |
| publishDate | 2015-06-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-88385a7cecbf4c9298ad9dfe40c7eef52023-12-03T11:04:56ZengPeerJ Inc.PeerJ2167-83592015-06-013e100910.7717/peerj.10091009Rotation survival forest for right censored dataLifeng Zhou0Qingsong Xu1Hong Wang2School of Mathematics and Statistics, Central South University, ChinaSchool of Mathematics and Statistics, Central South University, ChinaSchool of Mathematics and Statistics, Central South University, ChinaRecently, 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 a 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.https://peerj.com/articles/1009.pdfSurvival analysisCensored dataSurvival ensembleMedical decision making |
| spellingShingle | Lifeng Zhou Qingsong Xu Hong Wang Rotation survival forest for right censored data PeerJ Survival analysis Censored data Survival ensemble Medical decision making |
| title | Rotation survival forest for right censored data |
| title_full | Rotation survival forest for right censored data |
| title_fullStr | Rotation survival forest for right censored data |
| title_full_unstemmed | Rotation survival forest for right censored data |
| title_short | Rotation survival forest for right censored data |
| title_sort | rotation survival forest for right censored data |
| topic | Survival analysis Censored data Survival ensemble Medical decision making |
| url | https://peerj.com/articles/1009.pdf |
| work_keys_str_mv | AT lifengzhou rotationsurvivalforestforrightcensoreddata AT qingsongxu rotationsurvivalforestforrightcensoreddata AT hongwang rotationsurvivalforestforrightcensoreddata |