Rotation survival forest for right censored data.
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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 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.
SUBMITTER: Zhou L
PROVIDER: S-EPMC4465950 | biostudies-literature |
REPOSITORIES: biostudies-literature
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