Joint mean-covariance random effect model for longitudinal data
Bai, Yongxin; Qian, Manling; Tian, Maozai
2019-09-23
发表期刊BIOMETRICAL JOURNAL
卷号62期号:1页码:7-23
摘要In this paper, we consider the inherent association between mean and covariance in the joint mean-covariance modeling and propose a joint mean-covariance random effect model based on the modified Cholesky decomposition for longitudinal data. Meanwhile, we apply M-H algorithm to simulate the posterior distributions of model parameters. Besides, a computationally efficient Monte Carlo expectation maximization (MCEM) algorithm is developed for carrying out maximum likelihood estimation. Simulation studies show that the model taking into account the inherent association between mean and covariance has smaller standard deviations of the estimators of parameters, which makes the statistical inferences much more reliable. In the real data analysis, the estimation of parameters in the mean and covariance structure is highly efficient.
关键词joint mean-covariance model longitudinal data MCEM algorithm random effect
DOI10.1002/bimj.201800311
收录类别SCI ; EI ; SCOPUS ; SCIE
ISSN0323-3847
语种英语
WOS研究方向Mathematical & Computational Biology ; Mathematics
WOS类目Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000487490900001
出版者WILEY
EI入藏号20231713965660
原始文献类型Journal article (JA)
EISSN1521-4036
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/10527
专题统计与数据科学学院
作者单位1.Renmin Univ China, Ctr Appl Stat, Sch Stat, Beijing 100872, Peoples R China;
2.Xinjiang Univ Finance & Econ, Sch Stat & Informat, Urumqi, Peoples R China;
3.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Gansu, Peoples R China
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GB/T 7714
Bai, Yongxin,Qian, Manling,Tian, Maozai. Joint mean-covariance random effect model for longitudinal data[J]. BIOMETRICAL JOURNAL,2019,62(1):7-23.
APA Bai, Yongxin,Qian, Manling,&Tian, Maozai.(2019).Joint mean-covariance random effect model for longitudinal data.BIOMETRICAL JOURNAL,62(1),7-23.
MLA Bai, Yongxin,et al."Joint mean-covariance random effect model for longitudinal data".BIOMETRICAL JOURNAL 62.1(2019):7-23.
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