Literature DB >> 15032778

Multivariate survival trees: a maximum likelihood approach based on frailty models.

Xiaogang Su1, Juanjuan Fan.   

Abstract

A method of constructing trees for correlated failure times is put forward. It adopts the backfitting idea of classification and regression trees (CART) (Breiman et al., 1984, in Classification and Regression Trees). The tree method is developed based on the maximized likelihoods associated with the gamma frailty model and standard likelihood-related techniques are incorporated. The proposed method is assessed through simulations conducted under a variety of model configurations and illustrated using the chronic granulomatous disease (CGD) study data.

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Year:  2004        PMID: 15032778     DOI: 10.1111/j.0006-341X.2004.00139.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  4 in total

1.  Interaction trees with censored survival data.

Authors:  Xiaogang Su; Tianni Zhou; Xin Yan; Juanjuan Fan; Song Yang
Journal:  Int J Biostat       Date:  2008-01-28       Impact factor: 0.968

2.  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

Review 3.  Development of prognostic indicators using classification and regression trees for survival.

Authors:  Martha E Nunn; Juanjuan Fan; Xiaogang Su; Richard A Levine; Hyo-Jung Lee; Michael K McGuire
Journal:  Periodontol 2000       Date:  2012-02       Impact factor: 7.589

4.  Review of statistical methods for survival analysis using genomic data.

Authors:  Seungyeoun Lee; Heeju Lim
Journal:  Genomics Inform       Date:  2019-12-20
  4 in total

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