更多
论文成果
Joint modeling of longitudinal proportional measurements and survival time with a cure fraction
点击次数:
发布时间: 2019-03-12
发布时间:2019-03-12
论文类型:期刊论文
发表时间:2016-12-01
发表刊物:SCIENCE CHINA-MATHEMATICS
收录刊物:Scopus、SCIE
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:Queen's University(Canada)

学位: 博士

所在单位:数学科学学院

学科:概率论与数理统计

办公地点: 数学楼207

电子邮箱:

辽ICP备05001357号 地址:中国·辽宁省大连市甘井子区凌工路2号 邮编:116024
版权所有:大连理工大学
访问量: 手机版 English 大连理工大学 登录

开通时间:..

最后更新时间:..