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Joint modeling of longitudinal proportional measurements and survival time with a cure fraction
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论文类型: 期刊论文
第一作者: Song Hui
通讯作者: Tu, DS (reprint author), Queens Univ, Dept Publ Hlth Sci, Kingston, ON K7L 3N6, Canada.; Tu, DS (reprint author), Queens Univ, Dept Math & Stat, Kingston, ON K7L 3N6, Canada.; Tu, DS (reprint author), Queens Univ, Canadian Canc Trials Grp, Kingston, ON K7L 3N6, Canada.
合写作者: Peng YingWei,Tu DongSheng
发表时间: 2016-12-01
发表刊物: SCIENCE CHINA-MATHEMATICS
收录刊物: SCIE、Scopus
卷号: 59
期号: 12,SI
页面范围: 2427-2442
ISSN号: 1674-7283
关键字: cure fraction; joint model; Laplace approximation; proportional data; simplex distribution; survival times
摘要: In cancer clinical trials and other medical studies, both longitudinal measurements and data on a time to an event (survival time) are often collected from the same patients. Joint analyses of these data would improve the efficiency of the statistical inferences. We propose a new joint model for the longitudinal proportional measurements which are restricted in a finite interval and survival times with a potential cure fraction. A penalized joint likelihood is derived based on the Laplace approximation and a semiparametric procedure based on this likelihood is developed to estimate the parameters in the joint model. A simulation study is performed to evaluate the statistical properties of the proposed procedures. The proposed model is applied to data from a clinical trial on early breast cancer.

宋慧

讲师   硕士生导师

性别: 女

毕业院校:女皇大学

学位: 博士

所在单位:数学科学学院

学科:概率论与数理统计

电子邮箱:songh@dlut.edu.cn

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