Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes-Reference-Cited by-同舟云学术

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Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes

Published:2021-01-18 Issue: Volume: Page:
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scandinavian J Statistics

Author:

Zhu Yayuan¹^ORCID,Chen Ziqi²^ORCID,Lawless Jerald F.³^ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics University of Western Ontario London Ontario Canada

2. Key Laboratory of Advanced Theory and Application in Statistics and Data Science‐MOE, School of Statistics East China Normal University Shanghai P.R. China

3. Department of Statistics and Actuarial Science University of Waterloo Waterloo Ontario Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12511

Reference61 articles.

1. A Model for Nonparametric Regression Analysis of Counting Processes

2. Survival and Event History Analysis

3. icenReg: Regression Models for Interval Censored Data in R

4. Direct modeling of regression effects for transition probabilities in the progressive illness-death model

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data;Emerging Topics in Modeling Interval-Censored Survival Data;2022

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