Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk-Reference-Cited by-同舟云学术

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Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk

Published:2019-04-11 Issue:1 Volume:4 Page:97-108
ISSN:2475-4269
Container-title:Statistical Theory and Related Fields
language:en
Short-container-title:Statistical Theory and Related Fields

Author:

Wang Yijun¹,Zhang Jiajia²,Tang Yincai¹

Affiliation:

1. Key Laboratory of Advanced Theory and Application in Statistics and Data Science - MOE, School of Statistics, East China Normal University, Shanghai, 200062, People’s Republic of China

2. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/24754269.2019.1600123

Reference31 articles.

1. Maximum Likelihood Estimates of the Proportion of Patients Cured by Cancer Therapy

2. Classical Competing Risks

3. A Proportional Hazards Model for the Subdistribution of a Competing Risk

4. A Competing Risks Analysis of Presenting AIDS Diagnoses Trends

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1. On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility;Mathematics;2023-10-02

2. A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise;Statistical Theory and Related Fields;2022-12-20

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