Title

Multivariate Survival Trees: A Maximum Likelihood Approach Based On Frailty Models

Keywords

Akaike information criterion; Frailty models; Multivariate survival times; Regression trees

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.

Publication Date

3-1-2004

Publication Title

Biometrics

Volume

60

Issue

1

Number of Pages

93-99

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1111/j.0006-341X.2004.00139.x

Socpus ID

1642395595 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/1642395595

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