A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process-Reference-Cited by-同舟云学术

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A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process

Published:2018-09-19 Issue:12 Volume:48 Page:2982-3004
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Jaffa Miran A.¹,Jaffa Ayad A.²³

Affiliation:

1. Epidemiology and Population Health Department, Faculty of Health Sciences, Charleston, SC USA;

2. Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon;

3. Department of Medicine, Medical University of South Carolina, Charleston, SC, USA

Funder

National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2018.1473599

Reference53 articles.

1. A joint model for longitudinal and survival data based on an AR(1) latent process

2. A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data

3. Bayesian Approaches to Joint Cure-Rate and Longitudinal Models with Applications to Cancer Vaccine Trials

4. Fitting truncated geometric distributions in large scale real world networks

5. Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time

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