Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies-Reference-Cited by-同舟云学术

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Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies

Published:2021-06-15 Issue: Volume: Page:1-28
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Zhang Wei¹,Wu Colin O.²,Ma Xiaoyang³,Tian Xin²,Li Qizhai¹

Affiliation:

1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China

2. Office of Biostatistics Research, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA

3. Hematology Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1937581

Reference31 articles.

1. Childhood Body-Mass Index and the Risk of Coronary Heart Disease in Adulthood

2. Tracking of Blood Pressure From Childhood to Adulthood

3. Nonparametric estimation of conditional distribution functions with longitudinal data and time-varying parametric models

4. Longitudinal Correlates of Change in Blood Pressure in Adolescent Girls

5. Longitudinal Data Analysis

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning;Journal of Applied Statistics;2023-02-07

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