An Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks Data

作     者：LI Wanxing LONG Yonghong 

作者机构：Department of StatisticsSchool of Mathematics and Information ScienceShaanxi Normal UniversityXi'an 710119China School of MathematicsRenmin University of ChinaBeijing 100872China 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2019年第32卷第6期

页      面：1727-1746页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by “the Fundamental Research Funds for the Central Universities” under Grant Nos.GK201903006 and GK201901008 

主　　题：Aalen's additive model competing risks cumulative incidence function estimating equation inverse probability of censoring weight proportional hazard function time-varying effects 

摘      要：This paper proposes a flexible additive-multiplicative Cox-Aalen hazard model which allows time-varying covariate effects for the subdistribution in a competing risks *** ted estimating equation approaches under an covariates-dependent adjusted weight by fitting the Cox proportional hazard model for the censoring distribution are established for inference on the model parametric and nonparametric *** addition,large number properties are presented and the finite sample behavior of the proposed estimators is evaluated through simulation studies,estimators from the proposed method perform satisfactorily on reduction of the *** authors apply our model to a competing risks data set from a tamoxifen trail for breast cancer study.