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Journal of the American Statistical Association Volume 117, 2022 - Issue 539
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Theory and Methods

Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data

Ting Lia School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China;
,
Tengfei Lib Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC;
,
Zhongyi Zhuc Department of Statistics, Fudan University, Shanghai, China; ORCID Iconhttps://orcid.org/0000-0003-0683-8106
ORCID Icon &
Hongtu Zhud Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NCCorrespondence[email protected]
Pages 1228-1242 | Received 07 Jul 2019, Accepted 18 Oct 2020, Published online: 08 Dec 2020

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Read on this site (2)

Baihua He, Shuangge Ma, Xinyu Zhang & Li-Xing Zhu. (2023) Rank-Based Greedy Model Averaging for High-Dimensional Survival Data. Journal of the American Statistical Association 118:544, pages 2658-2670.
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Xingyu Yan, Jiaqian Yu, Weiyong Ding, Hao Wang & Peng Zhao. (2023) A novel two-way functional linear model with applications in human mortality data analysis. Journal of Applied Statistics 0:0, pages 1-14.
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Articles from other publishers (3)

Ting Li, Huichen Zhu, Tengfei Li & Hongtu Zhu. (2023) Asynchronous Functional Linear Regression Models for Longitudinal Data in Reproducing Kernel Hilbert Space. Biometrics 79:3, pages 1880-1895.
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Hongtu Zhu, Tengfei Li & Bingxin Zhao. (2023) Statistical Learning Methods for Neuroimaging Data Analysis with Applications. Annual Review of Biomedical Data Science 6:1, pages 73-104.
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Congmin Liu, Zhuowei Sun & Hongyuan Cao. (2023) Regression analysis of mixed sparse synchronous and asynchronous longitudinal covariates with varying-coefficient models. Electronic Journal of Statistics 17:2.
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