Flexible link functions in a joint hierarchical Gaussian process model-Reference-Cited by-同舟云学术

Flexible link functions in a joint hierarchical Gaussian process model

Published:2020-05-28 Issue:2 Volume:77 Page:754-764
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Su Weiji¹²,Wang Xia¹^ORCID,Szczesniak Rhonda D.²³

Affiliation:

1. Division of Statistics and Data Science Department of Mathematical Sciences University of Cincinnati Ohio

2. Division of Biostatistics & Epidemiology Cincinnati Children's Hospital Medical Center Cincinnati Ohio

3. Department of Pediatrics University of Cincinnati Cincinnati Ohio

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13291

Reference25 articles.

1. Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures

2. Joint modelling of repeated measurement and time-to-event data: an introductory tutorial

3. Bivariate Latent Variable Models for Clustered Discrete and Continuous Outcomes

4. Joint hierarchical Gaussian process model with application to personalized prediction in medical monitoring

5. A Predictive Approach to Model Selection

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