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

被引：0
作者：
Wanxing Li
Yonghong Long
机构：
[1] Shaanxi Normal University,Department of Statistics, School of Mathematics and Information Science
[2] Renmin University of China,School of Mathematics
来源：
Journal of Systems Science and Complexity | 2019年 / 32卷
关键词：
Aalen’s additive model; competing risks; cumulative incidence function; estimating equation; inverse probability of censoring weight; proportional hazard function; time-varying effects;
D O I：
暂无
中图分类号：
学科分类号：
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 study. Weighted 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 components. In 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 bias. The authors apply our model to a competing risks data set from a tamoxifen trail for breast cancer study.
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页码：1727 / 1746
页数：19
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