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Quantile Regression Adjusting for Dependent Censoring from Semi-Competing Risks

In this work, we study quantile regression when the response is an event time subject to potentially dependent censoring. We consider the semi-competing risks setting, where time to censoring remains observable after the occurrence of the event of interest. While such a scenario frequently arises in...

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Detalhes bibliográficos
Publicado no:J R Stat Soc Series B Stat Methodol
Main Authors: Li, Ruosha, Peng, Limin
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4283952/
https://ncbi.nlm.nih.gov/pubmed/25574152
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12063
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