A functional nonlinear mixed effects modeling framework for longitudinal functional responses-Reference-Cited by-同舟云学术

A functional nonlinear mixed effects modeling framework for longitudinal functional responses

Published:2024-01-01 Issue:1 Volume:18 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Kong Linglong¹,Luo Xinchao²,Xie Jinhan³,Zhu Lixing⁴,Zhu Hongtu⁵

Affiliation:

1. Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta T6G 2G1, Canada

2. School of Finance and Statistics, East China Normal University, Shanghai 200062, China

3. Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming 650091, People’s Republic of China

4. Department of Statistics, Beijing Normal University at Zhuhai, Zhuhai, China

5. Department of Biostatistics and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A

Publisher

Institute of Mathematical Statistics

Reference45 articles.

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4. Bethlehem, R. A., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K. M., Adamson, C., Adler, S., Alexopoulos, G. S., Anagnostou, E., Areces-Gonzalez, A., et al. (2022). Brain charts for the human lifespan. Nature pages 1–11.

5. Blozis, S. A. and Harring, J. R. (2021). Fitting nonlinear mixed-effects models with alternative residual covariance structures. Sociological Methods & Research 50, 531–566.