期刊
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
卷 81, 期 12, 页码 1983-1992出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00949655.2010.511622
关键词
bootstrap; Cox regression; ensemble learning; survival analysis; strength-diversity trade-off; variable selection
资金
- Natural Sciences and Engineering Research Council (NSERC) of Canada
Using Cox regression as the main platform, we study the ensemble approach for variable selection. We use a popular real-data example as well as simulated data with various censoring levels to illustrate the usefulness of the ensemble approach, and study the nature of these ensembles in terms of their strength and diversity. By relating these characteristics to the ensemble's selection accuracy, we provide useful insights for how to choose among different ensemble strategies, as well as guidelines for thinking about how to design more effective ensembles.
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