Cross‐validation and peeling strategies for survival bump hunting using recursive peeling methods

Statistical Analysis and Data Mining

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