Analyzing longitudinal data with informative observation times under biased sampling

doi:10.1016/j.spl.2008.12.022

CSpace > 应用数学研究所

	Analyzing longitudinal data with informative observation times under biased sampling
	Sun, Liuquan1 ; Tong, Xingwei 2
	2009-05-01
发表期刊	STATISTICS & PROBABILITY LETTERS
ISSN	0167-7152
卷号	79 期号:9 页码:1162-1168
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.
DOI	10.1016/j.spl.2008.12.022
语种	英语
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
WOS类目	Statistics & Probability
WOS记录号	WOS:000265894100005
出版者	ELSEVIER SCIENCE BV
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/7755
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.