Joint analysis of longitudinal data with additive mixed effect model for informative observation times

doi:10.1016/j.jspi.2015.08.001

CSpace > 应用数学研究所

	Joint analysis of longitudinal data with additive mixed effect model for informative observation times
	Fang, Sha 1,2; Zhang, Haixiang 3; Sun, Liuquan4
	2016-02-01
发表期刊	JOURNAL OF STATISTICAL PLANNING AND INFERENCE
ISSN	0378-3758
卷号	169 页码:43-55
摘要	Longitudinal data occur in many clinical and observational studies, and in many situations, longitudinal responses are often correlated with observation times. In this article, we propose a new joint model for the analysis of longitudinal data with informative observation times via two random effects. In particular, an additive mixed effect model is used for observation times. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the resulting estimators are established. In addition, some graphical and numerical procedures are provided for model checking. The finite-sample behavior of the proposed method is evaluated through simulation studies, and an application to a bladder cancer study is illustrated. (C) 2015 Elsevier B.V. All rights reserved.
关键词	Additive mixed effect model Estimating equations Informative observation times Joint modeling Latent variables Longitudinal data
DOI	10.1016/j.jspi.2015.08.001
语种	英语
资助项目	National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11171330] ; National Natural Science Foundation of China[11301212] ; China Postdoctoral Science Foundation[2014M550861] ; Key Laboratory of RCSDS, CAS[2008DP173182]
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000363827800005
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/21102
专题	应用数学研究所
通讯作者	Sun, Liuquan
作者单位	1.Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China 2.Capital Univ Econ & Business, Sch Stat, Beijing 100070, Peoples R China 3.Jilin Univ, Sch Math, Changchun 130012, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Fang, Sha,Zhang, Haixiang,Sun, Liuquan. Joint analysis of longitudinal data with additive mixed effect model for informative observation times[J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE,2016,169:43-55.
APA	Fang, Sha,Zhang, Haixiang,&Sun, Liuquan.(2016).Joint analysis of longitudinal data with additive mixed effect model for informative observation times.JOURNAL OF STATISTICAL PLANNING AND INFERENCE,169,43-55.
MLA	Fang, Sha,et al."Joint analysis of longitudinal data with additive mixed effect model for informative observation times".JOURNAL OF STATISTICAL PLANNING AND INFERENCE 169(2016):43-55.