title: Relative risk trees for censored survival data.
abstract: 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 stimulation 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).
authors.affiliation: Department of Preventive Medicine and Biostatistics, University of Toronto, Canada.
authors.forename: M
authors.initials: M
authors.lastname: LeBlanc
authors.forename: J
authors.initials: J
authors.lastname: Crowley
mesh_terms: D000367:Age Factors; D000465:Algorithms; D006801:Humans; D008433:Mathematics; D009101:Multiple Myeloma / Q000401:mortality / Q000628:therapy*; D011379:Prognosis; D012044:Regression Analysis; D012307:Risk Factors; D013997:Time Factors