Analyzing longitudinal data with informative observation times under biased sampling
文献类型:期刊论文
作者 | Sun, Liuquan1![]() |
刊名 | STATISTICS & PROBABILITY LETTERS
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出版日期 | 2009-05-01 |
卷号 | 79期号:9页码:1162-1168 |
ISSN号 | 0167-7152 |
DOI | 10.1016/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
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