中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analyzing longitudinal data with informative observation times under biased sampling

文献类型:期刊论文

作者Sun, Liuquan1; Tong, Xingwei2
刊名STATISTICS & PROBABILITY LETTERS
出版日期2009-05-01
卷号79期号:9页码:1162-1168
ISSN号0167-7152
DOI10.1016/j.spl.2008.12.022
英文摘要In many situations, longitudinal responses may be correlated with observation times as well as censoring time. This paper considers the regression analysis of longitudinal data where these correlations may exist under biased sampling, and a joint modeling approach that uses some latent variables to characterize the correlations is proposed. For inference about regression parameters, estimating equation approaches are developed and asymptotic properties of the proposed estimators are established. The finite sample behavior of the methods is examined through simulation studies, and an application to a data set from a bladder cancer study is provided for illustration. (C) 2009 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[10571169] ; National Natural Science Foundation of China[10731010] ; National Basic Research Program of China[2007CB814902]
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000265894100005
出版者ELSEVIER SCIENCE BV
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/7754]  
专题应用数学研究所
通讯作者Sun, Liuquan
作者单位1.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Sun, Liuquan,Tong, Xingwei. Analyzing longitudinal data with informative observation times under biased sampling[J]. STATISTICS & PROBABILITY LETTERS,2009,79(9):1162-1168.
APA Sun, Liuquan,&Tong, Xingwei.(2009).Analyzing longitudinal data with informative observation times under biased sampling.STATISTICS & PROBABILITY LETTERS,79(9),1162-1168.
MLA Sun, Liuquan,et al."Analyzing longitudinal data with informative observation times under biased sampling".STATISTICS & PROBABILITY LETTERS 79.9(2009):1162-1168.

入库方式: OAI收割

来源:数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。