影响因子：2.207
所属单位：数学与统计学院
教研室：统计教研室
发表刊物：Biometrical journal
关键字：additive hazards model, empirical likelihood, interval-censored data ,informative censoring, pseudo-score estimating equation
摘要：The additive hazards model is one of the most commonly used models for regression analysis of failure time data and many inference procedures have been developed for it under various situations. In particular, Wang et al. (2018a, Computational Statistics and Data Analysis, 125, 1-9) discussed the situation where one observes informatively interval-censored data and proposed a likelihood estimation approach. However , it involves estimation of the unknown baseline cumulative hazard function and thus may be time-consuming . Corresponding to this, we propose two new procedures, an estimating equation-based one and an empirical likelihood-based one, and both do not need estimation of the cumulative hazard function and can be easily implemented. The asymptotic properties of the proposed methods are established and an extensive simulation study suggests that they work well in practical situations. An application is also provided.
论文类型：期刊论文
卷号：63
期号：7
页面范围：1507-1525
是否译文：否
发表时间：2021-03-01
收录刊物：SCI