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Relative Risk Trees for Censored Survival Data
Michael LeBlanc and John Crowley
Vol. 48, No. 2 (Jun., 1992), pp. 411-425
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2532300
Page Count: 15
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A method is developed for obtaining tree-structured relative risk estimates for censored survival data. The first step of a full likelihood estimation procedure is used in a recursive partitioning algorithm that adopts most aspects of the widely used Classification and Regression Tree (CART) algorithm of Breiman et al. (1984, Classification and Regression Trees, Belmont, California: Wadsworth). The performance of the technique is investigated through simulation and compared to the tree-structured survival methods proposed by Davis and Anderson (1989, Statistics in Medicine 8, 947-961) and Therneau, Grambsch, and Fleming (1990, Biometrika 77, 147-160).
Biometrics © 1992 International Biometric Society