Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials-Reference-Cited by-同舟云学术

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Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials

Published:2017-01-02 Issue:1 Volume:26 Page:121-133
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Zhang Danjie¹,Chen Ming-Hui²,Ibrahim Joseph G.³,Boye Mark E.⁴,Shen Wei⁴

Affiliation:

1. Gilead Sciences, Inc., Foster City, California

2. Department of Statistics, University of Connecticut, Storrs, Connecticut

3. Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina

4. Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2015.1117472

Reference54 articles.

1. Patients’ preferences for treatment outcomes for advanced non-small cell lung cancer: A conjoint analysis

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

3. A Flexible B-Spline Model for Multiple Longitudinal Biomarkers and Survival

4. Importance-Weighted Marginal Bayesian Posterior Density Estimation

5. A new joint model for longitudinal and survival data with a cure fraction

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