A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers-Reference-Cited by-同舟云学术

A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers

Published:2021-07-17 Issue:8 Volume:63 Page:1575-1586
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Li Ning¹,Liu Yi²,Li Shanpeng³,Elashoff Robert M.⁴,Li Gang³^ORCID

Affiliation:

1. Departments of Medicine and Biomathematics University of California at Los Angeles Los Angeles CA USA

2. School of Mathematical Sciences Ocean University of China Qingdao P. R. China

3. Department of Biostatistics University of California at Los Angeles Los Angeles CA USA

4. Department of Biomathematics University of California at Los Angeles Los Angeles CA USA

Funder

National Cancer Institute

National Center for Advancing Translational Sciences

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000085

Reference25 articles.

1. Joint Models for Multivariate Longitudinal and Multivariate Survival Data

2. Maximum Likelihood from Incomplete Data Via theEMAlgorithm

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

4. Joint Modeling of Longitudinal and Time-to-Event Data

5. Joint Modeling of Multiple Longitudinal Patient-Reported Outcomes and Survival

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