scholarly journals ROC‐guided survival trees and ensembles

Biometrics ◽  
2020 ◽  
Vol 76 (4) ◽  
pp. 1177-1189
Author(s):  
Yifei Sun ◽  
Sy Han Chiou ◽  
Mei‐Cheng Wang
Keyword(s):  
Survival Trees

scholarly journals Recursively Imputed Survival Trees

2012 ◽  
Vol 107 (497) ◽  
pp. 331-340 ◽  
Author(s):  
Ruoqing Zhu ◽  
Michael R. Kosorok
Keyword(s):  
Survival Trees

Predicting long-term risk for relationship dissolution using nonparametric conditional survival trees.

2015 ◽  
Vol 29 (6) ◽  
pp. 807-817 ◽  
Author(s):  
Sören Kliem ◽  
Sarah Weusthoff ◽  
Kurt Hahlweg ◽  
Katherine J. W. Baucom ◽  
Brian R. Baucom
Keyword(s):  
Relationship Dissolution ◽  
Conditional Survival ◽  
Survival Trees

Discrete-time survival trees

2009 ◽  
Vol 37 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Imad Bou-hamad ◽  
Denis Larocque ◽  
Hatem Ben-Ameur ◽  
Louise C. Mâsse ◽  
Frank Vitaro ◽  
...  
Keyword(s):  
Discrete Time ◽  
Survival Trees

scholarly journals Comparison of Splitting Methods on Survival Tree

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Asanao Shimokawa ◽  
Yohei Kawasaki ◽  
Etsuo Miyaoka
Keyword(s):  
Regression Tree ◽  
Splitting Methods ◽  
Classification And Regression Tree ◽  
Rank Test ◽  
Test Statistic ◽  
Survival Trees ◽  
Martingale Residual ◽  
Log Likelihood ◽  
Sample Test ◽  
Deviance Residual

AbstractWe compare splitting methods for constructing survival trees that are used as a model of survival time based on covariates. A number of splitting criteria on the classification and regression tree (CART) have been proposed by various authors, and we compare nine criteria through simulations. Comparative studies have been restricted to criteria that suppose the survival model for each terminal node in the final tree as a non-parametric model. As the main results, the criteria using the exponential log-likelihood loss, log-rank test statistics, the deviance residual under the proportional hazard model, or square error of martingale residual are recommended when it appears that the data have constant hazard with the passage of time. On the other hand, when the data are thought to have decreasing hazard with passage of time, the criterion using the two-sample test statistic, or square error of deviance residual would be optimal. Moreover, when the data are thought to have increasing hazard with the passage of time, the criterion using the exponential log-likelihood loss, or impurity that combines observed times and the proportion of censored observations would be the best. We also present the results of an actual medical research to show the utility of survival trees.

scholarly journals Recursively Imputed Survival Trees for Extrapolating Survival Beyond Clinical Trial Follow UP: A Simulation Study

2018 ◽  
Vol 21 ◽  
pp. S223
Author(s):  
H Beyhaghi ◽  
K Hassmiller Lich ◽  
Y Cui ◽  
MR Kosorok
Keyword(s):  
Clinical Trial ◽  
Simulation Study ◽  
Survival Trees
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