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Comparison of Two Frameworks for Analyzing Longitudinal Data
Zhou, Jie1; Zhou, Xiao-Hua2,3; Sun, Liuquan4
2021-11-01
Source PublicationSTATISTICAL SCIENCE
ISSN0883-4237
Volume36Issue:4Pages:530-541
AbstractUnder the random design of longitudinal data, observation times are irregular, and there are mainly two frameworks for analyzing such kind of longitudinal data. One is the clustered data framework and the other is the counting process framework. In this paper, we give a thorough comparison of these two frameworks in terms of data structure, model assumptions and estimation procedures. We find that modeling the observation times in the counting process framework will not gain any efficiency when the observation times are correlated with covariates but independent of the longitudinal response given covariates. Some simulation studies are conducted to compare the finite sample behaviors of the related estimators, and a real data analysis of the Alzheimer's disease study is implemented for further comparison.
KeywordClustered data framework counting process framework estimation procedures longitudinal data
DOI10.1214/20-STS813
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11671275] ; National Natural Science Foundation of China[11471223] ; National Natural Science Foundation of China[11301355] ; National Natural Science Foundation of China[11690015] ; National Natural Science Foundation of China[11771431] ; Beijing Municipal Education Commission[KM202010028017] ; Academy for Multidisciplinary Studies of Capital Normal University ; NIH/NIA grant[U01AG016976] ; NSFC grant
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000706444500004
PublisherINST MATHEMATICAL STATISTICS-IMS
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59417
Collection应用数学研究所
Corresponding AuthorZhou, Jie
Affiliation1.Capital Normal Univ, Sch Math, Beijing 100048, Peoples R China
2.Peking Univ, Sch Publ Hlth, Dept Biostat, Beijing 100871, Peoples R China
3.Peking Univ, Beijing Int Ctr Math Res, Beijing 100871, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Jie,Zhou, Xiao-Hua,Sun, Liuquan. Comparison of Two Frameworks for Analyzing Longitudinal Data[J]. STATISTICAL SCIENCE,2021,36(4):530-541.
APA Zhou, Jie,Zhou, Xiao-Hua,&Sun, Liuquan.(2021).Comparison of Two Frameworks for Analyzing Longitudinal Data.STATISTICAL SCIENCE,36(4),530-541.
MLA Zhou, Jie,et al."Comparison of Two Frameworks for Analyzing Longitudinal Data".STATISTICAL SCIENCE 36.4(2021):530-541.
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