Literature DB >> 2799124

Exponential survival trees.

R B Davis1, J R Anderson.   

Abstract

This paper concerns a recursive partitioning algorithm for incomplete survival data. The splitting criterion employed is exponential log-likelihood loss. The method has been integrated into a computer program similar in structure to the commercial package CART. Special features incorporated into the program include a modification to prevent zero hazard estimates during the the cross-validation procedure and a method based on the chi-square distribution for final tree selection. Simulation results demonstrate the program's capability to identify the underlying hazard structure in survival data. An example utilizing data from patients with diffuse large cell lymphoma is presented.

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Mesh:

Year:  1989        PMID: 2799124     DOI: 10.1002/sim.4780080806

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  19 in total

1.  Survival trees: an alternative non-parametric multivariate technique for life history analysis.

Authors:  A De Rose; A Pallara
Journal:  Eur J Popul       Date:  1997

2.  Boomerang: A method for recursive reclassification.

Authors:  Sean M Devlin; Irina Ostrovnaya; Mithat Gönen
Journal:  Biometrics       Date:  2016-01-11       Impact factor: 2.571

3.  Time-dependent tree-structured survival analysis with unbiased variable selection through permutation tests.

Authors:  M L Wallace
Journal:  Stat Med       Date:  2014-07-14       Impact factor: 2.373

4.  Multivariate Exponential Survival Trees And Their Application to Tooth Prognosis.

Authors:  Juanjuan Fan; Martha E Nunn; Xiaogang Su
Journal:  Comput Stat Data Anal       Date:  2009-02-15       Impact factor: 1.681

5.  Censoring Unbiased Regression Trees and Ensembles.

Authors:  Jon Arni Steingrimsson; Liqun Diao; Robert L Strawderman
Journal:  J Am Stat Assoc       Date:  2018-07-09       Impact factor: 5.033

6.  Clinical and biologic features predictive of survival after relapse of neuroblastoma: a report from the International Neuroblastoma Risk Group project.

Authors:  Wendy B London; Victoria Castel; Tom Monclair; Peter F Ambros; Andrew D J Pearson; Susan L Cohn; Frank Berthold; Akira Nakagawara; Ruth L Ladenstein; Tomoko Iehara; Katherine K Matthay
Journal:  J Clin Oncol       Date:  2011-07-18       Impact factor: 44.544

7.  Tree-Based Analysis.

Authors:  Mousumi Banerjee; Evan Reynolds; Hedvig B Andersson; Brahmajee K Nallamothu
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-05

8.  Treatment when prognostic factors do not match St. Gallen recommendations: profiling of prognostic factors among HR(+) and HER2(-) breast cancer patients.

Authors:  Kyoko Satoh; Maki Tanaka; Ayako Yano; Jiang Ying; Tatsuyuki Kakuma
Journal:  World J Surg       Date:  2013-03       Impact factor: 3.352

9.  The International Neuroblastoma Risk Group (INRG) classification system: an INRG Task Force report.

Authors:  Susan L Cohn; Andrew D J Pearson; Wendy B London; Tom Monclair; Peter F Ambros; Garrett M Brodeur; Andreas Faldum; Barbara Hero; Tomoko Iehara; David Machin; Veronique Mosseri; Thorsten Simon; Alberto Garaventa; Victoria Castel; Katherine K Matthay
Journal:  J Clin Oncol       Date:  2008-12-01       Impact factor: 44.544

10.  Cross-Validation of Survival Bump Hunting by Recursive Peeling Methods.

Authors:  Jean-Eudes Dazard; Michael Choe; Michael LeBlanc; J Sunil Rao
Journal:  Proc Am Stat Assoc       Date:  2014-08
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