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Moving beyond the Cox proportional hazards model in survival data analysis: a cervical cancer study

OBJECTIVES: This study explored the prognostic factors and developed a prediction model for Chinese-American (CA) cervical cancer (CC) patients. We compared two alternative models (the restricted mean survival time (RMST) model and the proportional baselines landmark supermodel (PBLS model, producin...

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Detalles Bibliográficos
Autores principales:	Li, Lixian, Yang, Zijing, Hou, Yawen, Chen, Zheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2020
Materias:	Epidemiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371360/ https://www.ncbi.nlm.nih.gov/pubmed/32690495 http://dx.doi.org/10.1136/bmjopen-2019-033965

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