A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types-Reference-Cited by-同舟云学术

A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types

Published:2007-12-20 Issue:3 Volume:64 Page:762-771
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Elashoff Robert M.¹²,Li Gang¹,Li Ning²

Affiliation:

1. Department of Biostatistics, School of Public Health, University of California at Los Angeles, Los Angeles, California 90095, U.S.A.

2. Department of Biomathematics, University of California at Los Angeles, 10833 Leconte Avenue, Box 951766, Los Angeles, California 90095‐1766, U.S.A.

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/j.1541-0420.2007.00952.x

Reference31 articles.

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

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

3. SIMULTANEOUSLY MODELLING CENSORED SURVIVAL DATA AND REPEATEDLY MEASURED COVARIATES: A GIBBS SAMPLING APPROACH

4. Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems

5. Joint modelling of longitudinal measurements and event time data

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