Bayesian survival trees for clustered observations, applied to tooth prognosis

Statistical Analysis and Data Mining

Xiaogang Su¹  Richard A. Levine²  Juanjuan Fan²  Martha E. Nunn³ 

[1] Department of Mathematical Sciences University of Texas at El Paso El Paso TX 79968 USA;Department of Mathematics and Statistics San Diego State University San Diego CA 92182 USA;School of Dentistry Creighton University Omaha NE 68178 USA

关键词: classification and regression trees (CARTs);    random forest;    clustered/correlated failure times;    dental application;    frailty model;    Metropolis‐;    Hastings (MCMC) sampler;   

DOI  :  10.1002/sam.11215

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown