title: Regression analysis of informative current status data with the additive hazards model.
abstract: This paper discusses regression analysis of current status failure time data arising from the additive hazards model in the presence of informative censoring. Many methods have been developed for regression analysis of current status data under various regression models if the censoring is noninformative, and also there exists a large literature on parametric analysis of informative current status data in the context of tumorgenicity experiments. In this paper, a semiparametric maximum likelihood estimation procedure is presented and in the method, the copula model is employed to describe the relationship between the failure time of interest and the censoring time. Furthermore, I-splines are used to approximate the nonparametric functions involved and the asymptotic consistency and normality of the proposed estimators are established. A simulation study is conducted and indicates that the proposed approach works well for practical situations. An illustrative example is also provided.
authors: College of Mathematics, Jilin University, Changchun, 130012, People's Republic of China.
authors: Shishun
authors: S
authors: Zhao
authors: Tao
authors: T
authors: Hu
authors: Ling
authors: L
authors: Ma
authors: Peijie
authors: P
authors: Wang
authors: Jianguo
authors: J
authors: Sun
mesh_terms: D000818:Animals; D015982:Bias; D003198:Computer Simulation; D006801:Humans; D016013:Likelihood Functions; D008175:Lung Neoplasms / Q000503:physiopathology; D008297:Male; D051379:Mice; D016016:Proportional Hazards Models; D012044:Regression Analysis; D012984:Software