Dynamic semiparametric transformation models for recurrent event data with a terminal event-Reference-Cited by-同舟云学术

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Dynamic semiparametric transformation models for recurrent event data with a terminal event

Published:2022-09-19 Issue:27 Volume:41 Page:5432-5447
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Jin Jin¹,Song Xinyuan²^ORCID,Sun Liuquan³⁴^ORCID

Affiliation:

1. School of Mathematics and Physics University of Science and Technology Beijing Beijing China

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

3. Institute of Applied Mathematics Academy of Mathematics and Systems Science, Chinese Academy of Sciences Beijing China

4. School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9577

Reference41 articles.

1. Cox's Regression Model for Counting Processes: A Large Sample Study

2. Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates

3. Conditional Regression Analysis for Recurrence Time Data

4. Semiparametric regression for the mean and rate functions of recurrent events

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1. Bottom-up Coarse-Graining: Principles and Perspectives;Journal of Chemical Theory and Computation;2022-09-07

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