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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723803/
https://www.ncbi.nlm.nih.gov/pubmed/36461936
http://dx.doi.org/10.1177/10732748221143388

Ejemplares similares