Multivariate survival trees: A maximum likelihood approach based on frailty models

    Authors

    X. G. Su;J. J. Fan

    Comments

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    Abbreviated Journal Title

    Biometrics

    Keywords

    Akaike information criterion; frailty models; multivariate survival; times; regression trees; CHRONIC GRANULOMATOUS-DISEASE; FAILURE TIME DATA; INTERFERON-GAMMA; LIFE-TABLES; REGRESSION; HAZARDS; Biology; Mathematical & Computational Biology; Statistics & Probability

    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.

    Journal Title

    Biometrics

    Volume

    60

    Issue/Number

    1

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    93

    Last Page

    99

    WOS Identifier

    WOS:000220384400012

    ISSN

    0006-341X

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