收稿日期: 2015-06-01
修回日期: 2015-11-20
网络出版日期: 2016-07-15
基金资助
国家自然科学基金（10901162，U1430103，11571340）、中国科学院大学校长基金、中国科学院大数据挖掘与知识管理重点实验室开放课题和安徽省振兴计划团队项目（统计学前沿问题及应用）资助
Statistic inference of additive hazards model when censoring indicators are missing at random
Received date: 2015-06-01
Revised date: 2015-11-20
Online published: 2016-07-15
陈菲菲 , 孙志华 , 叶雪 . 失效信息随机缺失时可加危险率模型的统计推断[J]. 中国科学院大学学报, 2016 , 33(4) : 443 -453 . DOI: 10.7523/j.issn.2095-6134.2016.04.003
In this work, we consider a semi-parametric additive hazards regression model for right-censored data with censoring indicators missing at random.By employing the information of the response and censoring probability models, we propose three estimators of the regression coefficient and the baseline cumulative hazard function.We prove that the proposed estimators are consistent and asymptotically normal.Simulation studies are conducted to evaluate the numerical performance of the proposed estimators in comparison with the existing estimators.A real data set is analyzed to validate the effectiveness of the proposed methods.
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