Literature DB >> 26043356

A comparative study on splitting criteria of a survival tree based on the Cox proportional model.

Asanao Shimokawa1, Yohei Kawasaki2, Etsuo Miyaoka2.   

Abstract

We treat the situations that the effect of covariates on hazard is differed in subgroups of patients. To handle this situation, we can consider the hybrid model of the Cox model and tree-structured model. Through simulation studies, we compared several splitting criteria for constructing this hybrid model. As a result, the criterion using the degree of the improvement in the negative maximum partial log-likelihood obtained by splitting showed a good performance for many situations. We also present the results obtained by applying this tree model in an actual medical research study to show its utility.

Entities:  

Keywords:  Comparative research; Cox model; recursive splitting; survival tree

Mesh:

Year:  2015        PMID: 26043356     DOI: 10.1080/10543406.2015.1052485

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  2 in total

1.  Survival Forests with R-Squared Splitting Rules.

Authors:  Hong Wang; Xiaolin Chen; Gang Li
Journal:  J Comput Biol       Date:  2017-12-21       Impact factor: 1.549

2.  Bagging survival tree procedure for variable selection and prediction in the presence of nonsusceptible patients.

Authors:  Cyprien Mbogning; Philippe Broët
Journal:  BMC Bioinformatics       Date:  2016-06-07       Impact factor: 3.169

  2 in total

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