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

Internet

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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