Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's disease-Reference-Cited by-同舟云学术

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Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's disease

Published:2021-10-14 Issue:30 Volume:40 Page:6855-6872
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Zou Haotian¹^ORCID,Li Kan²^ORCID,Zeng Donglin¹^ORCID,Luo Sheng³^ORCID,

Affiliation:

1. Department of Biostatistics, Gillings School of Global Public Health, CB#7420 Duke University Chapel Hill North Carolina USA

2. Merck Research Lab Merck & Co North Wales Pennsylvania USA

3. Department of Biostatistics and Informatics Duke University Durham North Carolina USA

Funder

National Institute on Aging

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9214

Reference64 articles.

1. Alzheimer disease in the United States (2010-2050) estimated using the 2010 census

2. Introduction to the recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

3. Alzheimer's disease severity, objectively determined and measured;Gross AL;Alzheimers Dement,2016

4. Rate of progression of mild cognitive impairment to dementia - meta-analysis of 41 robust inception cohort studies

5. A Joint Model for Survival and Longitudinal Data Measured with Error

Cited by 2 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. Dynamic Survival Prediction Using Sparse Longitudinal Images via Multi-Dimensional Functional Principal Component Analysis;Journal of Computational and Graphical Statistics;2024-05-23

2. Multivariate functional mixed model with MRI data: An application to Alzheimer's disease;Statistics in Medicine;2023-02-20

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