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Analysis of Prognostic Factors of Low-Grade Gliomas in Adults Using Time-Dependent Competing Risk Models: A Population Study Based on the Surveillance, Epidemiology, and End Results Database

BACKGROUND: Because of multiple competing death outcomes and time-varying coefficients, using a Cox regression model to analyze the prognostic factors of low-grade gliomas (LGG) may lead to a possible bias. Therefore, we adopted time-dependent competing risk models to obtain accurate prognostic fact...

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Detalles Bibliográficos
Autores principales:	Cai, Kaiwei, Han, Didi, Deng, Die, Ke, Man, Peng, Min, Lyu, Jun, Xu, Anding
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Original Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723803/ https://www.ncbi.nlm.nih.gov/pubmed/36461936 http://dx.doi.org/10.1177/10732748221143388

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