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Analyzing longitudinal data with informative observation times under biased sampling
Sun, Liuquan1; Tong, Xingwei2
AbstractIn 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.
Funding ProjectNational Natural Science Foundation of China[10571169] ; National Natural Science Foundation of China[10731010] ; National Basic Research Program of China[2007CB814902]
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000265894100005
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Document Type期刊论文
Corresponding AuthorSun, Liuquan
Affiliation1.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
Recommended Citation
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.
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