A joint modeling approach for analyzing marker data in the presence of a terminal event-Reference-Cited by-同舟云学术

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A joint modeling approach for analyzing marker data in the presence of a terminal event

Published:2020-03-28 Issue:1 Volume:77 Page:150-161
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Zhou Jie¹^ORCID,Chen Xin²,Song Xinyuan³^ORCID,Sun Liuquan⁴⁵^ORCID

Affiliation:

1. School of Mathematics Capital Normal University Beijing China

2. School of Statistics and Mathematics Shanghai Lixin University of Accounting and Finance Shanghai China

3. Department of Statistics The Chinese University of Hong Kong China

4. Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

5. School of Economics and Statistics Guangzhou University Guangzhou China

Funder

National Natural Science Foundation of China

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/biom.13260

Reference22 articles.

1. Median Regression with Censored Cost Data

2. Semiparametric proportional means model for marker data contingent on recurrent event

3. Joint modeling of longitudinal, recurrent events and failure time data for survivor's population

4. Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events

5. A Survey of Product-Integration with a View Toward Application in Survival Analysis

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