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 Comparison of Two Frameworks for Analyzing Longitudinal Data Zhou, Jie1; Zhou, Xiao-Hua2,3; Sun, Liuquan4 2021-11-01 Source Publication STATISTICAL SCIENCE ISSN 0883-4237 Volume 36Issue:4Pages:530-541 Abstract Under 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. Keyword Clustered data framework counting process framework estimation procedures longitudinal data DOI 10.1214/20-STS813 Indexed By SCI Language 英语 Funding Project National 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 Area Mathematics WOS Subject Statistics & Probability WOS ID WOS:000706444500004 Publisher INST MATHEMATICAL STATISTICS-IMS Citation statistics Document Type 期刊论文 Identifier http://ir.amss.ac.cn/handle/2S8OKBNM/59417 Collection 应用数学研究所 Corresponding Author Zhou, Jie Affiliation 1.Capital Normal Univ, Sch Math, Beijing 100048, Peoples R China2.Peking Univ, Sch Publ Hlth, Dept Biostat, Beijing 100871, Peoples R China3.Peking Univ, Beijing Int Ctr Math Res, Beijing 100871, Peoples R China4.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China Recommended CitationGB/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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