文章基本信息

标题：Estimation of the additive hazards model with current status data in the presence of informative censoring
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作者：Li, Huiqiong ; Li, Huiqiong ; Zhang, Han 等
期刊名称：Statistics and Its Interface
印刷版ISSN：1938-7989
电子版ISSN：1938-7997
出版年度：2019
卷号：12
期号：2
页码：321-330
DOI：10.4310/SII.2019.v12.n2.a12
出版社：International Press
摘要：The additive hazards model is one of the most commonly used regression models in the analysis of failure time data and many methods have been developed for its inference under various situations. This paper discusses the situation where one faces current status data and also there exists informative censoring or when the failure time of interest and the observation process are correlated. Several authors have discussed the problem and in particular, Zhang et al. (2005) and Zhao et al. (2015) proposed an estimating equation-based approach and a copula model-based method, respectively. However, the former may not be efficient and the latter needs some restrictive assumptions. To address these, we propose a sieve maximum likelihood estimation approach that can be more efficient and also does not require the assumption above. For the implementation of the method, an EM algorithm is developed and the asymptotic properties of the resulting estimators are established. The numerical results suggest that the proposed method works well in practical situations and an application is provided..
关键词：current status data; EM algorithm; informative censoring