Re: Quantifying the long-term effects of measles infection by Dor et al.
Author:
Funder
Taishan Scholar Foundation of Shandong Province
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference6 articles.
1. Quantifying the long-term effects of measles infection – a retrospective cohort study;Dor;Clin Microbiol Infect,2024
2. Competing risks, treatment switching, and informative censoring;Thomas;JAMA Cardiol,2021
3. Censoring issues in survival analysis;Leung;Annu Rev Public Health,1997
4. Accelerated failure time models for semi-competing risks data in the presence of complex censoring;Lee;Biometrics,2017
5. Score estimating equations from embedded likelihood functions under accelerated failure time model;Ning;J Am Stat Assoc,2014
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