title: Multivariate survival trees: a maximum likelihood approach based on frailty models.
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.
authors.affiliation: Department of Statistics and Actuarial Science, University of Central Florida, Orlando, Florida 32816, USA. xsu@pegasus.cc.ucf.edu
authors.forename: Xiaogang
authors.initials: X
authors.lastname: Su
authors.forename: Juanjuan
authors.initials: J
authors.lastname: Fan
mesh_terms: D001699:Biometry; D006105:Granulomatous Disease, Chronic / Q000188:drug therapy; D006801:Humans; D017053:Infection Control; D007371:Interferon-gamma / Q000627:therapeutic use; D016013:Likelihood Functions; D015233:Models, Statistical; D015999:Multivariate Analysis; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data; D011994:Recombinant Proteins; D012044:Regression Analysis; D016019:Survival Analysis
chemical_list: D011994:Recombinant Proteins; D007371:Interferon-gamma