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作者机构:Univ Minnesota Sch Publ Hlth Div Biostat Minneapolis MN 55455 USA
出 版 物:《LIFETIME DATA ANALYSIS》 (寿命数据分析)
年 卷 期:2001年第7卷第1期
页 面:55-64页
核心收录:
学科分类:0202[经济学-应用经济学] 02[经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学(可授理学、经济学学位)] 0701[理学-数学]
主 题:AFT model clustering censoring proportional hazards model EM algorithm frailty model
摘 要:The accelerated failure time (AFT) model is an important alternative to the Cox proportional hazards model (PHM) in survival analysis. For multivariate failure time data we propose to use frailties to explicitly account for possible correlations (and heterogeneity) among failure times. An EM-like algorithm analogous to that in the frailty model for the Cox model is adapted. Through simulation it is shown that its performance compares favorably with that of the marginal independence approach. For illustration we reanalyze a real data set.