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June 2014 An approach for constructing survival tree based on combination of covariates
Asanao Shimokawa, Yohei Kawasaki, Etsuo Miyaoka
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SUT J. Math. 50(2): 311-324 (June 2014). DOI: 10.55937/sut/1424794076


We propose a new approach for constructing a survival tree which is used to analysis of time to event data. The construction of survival tree is performed by the classification and regression tree (CART) algorithm, which constructs a tree model by recursively dividing the data. In the traditional approach, internal-node data are divided by a splitting rule which consider only one covariate for each node. In the proposed approach, two or more combinations of covariates are considered for dividing the internal-node data in the algorithm. We show that the proposed method is more suitable than the traditional approach in some situations through the comparative research by simulations. We also present the result of an actual analysis based on proposed approach.


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Asanao Shimokawa. Yohei Kawasaki. Etsuo Miyaoka. "An approach for constructing survival tree based on combination of covariates." SUT J. Math. 50 (2) 311 - 324, June 2014.


Received: 28 May 2014; Revised: 25 July 2014; Published: June 2014
First available in Project Euclid: 11 June 2022

Digital Object Identifier: 10.55937/sut/1424794076

Primary: 62N01 , 62P10

Keywords: CART , splitting method , survival tree

Rights: Copyright © 2014 Tokyo University of Science


Vol.50 • No. 2 • June 2014
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