期刊论文详细信息
Statistical Analysis and Data Mining | |
Cross‐validation and peeling strategies for survival bump hunting using recursive peeling methods | |
Michael Choe1  JeanEudes Dazard1  Michael LeBlanc2  J. Sunil Rao3  | |
[1] Center for Proteomics and Bioinformatics Case Western Reserve University Cleveland, OH 44106 USA;Department of Biostatistics, School of Public Health University of Washington Seattle, WA 98195 USAPublic Health Sciences, Fred Hutchinson Cancer Research Center Seattle, WA 98109 USA;Division of Biostatistics, Department of Epidemiology and Public Health The University of Miami Miami, FL 33136 USA | |
关键词: exploratory survival/risk analysis; survival/risk estimation and prediction; non‐; parametric method; cross‐; validation; bump hunting; patient rule induction method; | |
DOI : 10.1002/sam.11301 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: John Wiley & Sons, Inc. | |
【 摘 要 】
Abstract: We introduce a framework to build a survival/risk bump hunting model with a censored time-to-event response. Our survival bump hunting (SBH) method is based on a recursive peeling procedure that uses a specific survival peeling criterion derived from non-/semi-parametric statistics such as the hazard ratio, the log-rank test or the Nelson.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201904041548030ZK.pdf | 3235KB | download |