1992
DOI: 10.2307/2532300
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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 met… Show more

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Cited by 357 publications
(278 citation statements)
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“…When censored survival is the outcome of a study, survival trees can be used as a viable alternative to traditional methods in the presence of missing data or when underlying assumptions are not satisfied. Splitting criteria developed by LeBlanc and Crowley 20 were used to develop the SPT-free survival trees. Sample size considerations suggested by Simon and Altman 21 were used to determine the minimum number of participants required to consider splitting a node of the tree.…”
Section: Methodsmentioning
confidence: 99%
“…When censored survival is the outcome of a study, survival trees can be used as a viable alternative to traditional methods in the presence of missing data or when underlying assumptions are not satisfied. Splitting criteria developed by LeBlanc and Crowley 20 were used to develop the SPT-free survival trees. Sample size considerations suggested by Simon and Altman 21 were used to determine the minimum number of participants required to consider splitting a node of the tree.…”
Section: Methodsmentioning
confidence: 99%
“…Optimal cutoff points were identified by recursive partitioning. 31 Variables found to be statistically significant at a 10% level in the univariate analyses were included in the multivariate model. Different models were established, incorporating angiogenic factors as categorical or as continuous variables, respectively.…”
Section: Statisticsmentioning
confidence: 99%
“…As a splitting method, the exponential scaling method was used (Therneau et al, 1990;LeBlanc and Crowley, 1992). The splitting process stopped when a minimum of five patients per groups was reached or when there was no further decrease in prediction error.…”
Section: Statistical Analysesmentioning
confidence: 99%