Determination of correlations in multivariate longitudinal data with modified Cholesky and hypersphere decomposition using Bayesian variable selection approach-Reference-Cited by-同舟云学术

Determination of correlations in multivariate longitudinal data with modified Cholesky and hypersphere decomposition using Bayesian variable selection approach

Published:2020-12-14 Issue:4 Volume:40 Page:978-997
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Lee Kuo‐Jung¹,Chen Ray‐Bing¹,Kwak Min‐Sun²,Lee Keunbaik³^ORCID

Affiliation:

1. Department of Statistics and Institute of Data Science National Cheng Kung University Tainan Taiwan

2. Department of Internal Medicine Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital Gangnam‐gu South Korea

3. Department of Statistics Sungkyunkwan University Jongno‐gu Seoul South Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8815

Reference30 articles.

1. Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions

2. The analysis of multivariate longitudinal data: A review

3. Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation

4. Unconstrained models for the covariance structure of multivariate longitudinal data

5. Modelling covariance structure in bivariate marginal models for longitudinal data

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