Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter-Reference-Cited by-同舟云学术

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Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter

Published:2021-07-28 Issue:8 Volume:63 Page:1587-1606
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

McFetridge Lisa M.¹,Asar Özgür²^ORCID,Wallin Jonas³

Affiliation:

1. Mathematical Sciences Research Centre School of Mathematics and Physics Queen's University Belfast Belfast UK

2. Department of Biostatistics and Medical Informatics Faculty of Medicine Acıbadem Mehmet Ali Aydınlar University İstanbul Turkey

3. Department of Statistics Lund University Lund Sweden

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000253

Reference31 articles.

1. Linear mixed effects models for non‐Gaussian continuous repeated measurement data

2. Dynamic predictions of kidney graft survival in the presence of longitudinal outliers

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

4. Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: A Bayesian approach;Baghfalaki T.;Biometrical Journal,2013

5. Bayesian Joint Modeling of Longitudinal Measurements and Time-to-Event Data Using Robust Distributions

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