Application of additive hazards models for analyzing survival of breast cancer patients

BACKGROUND: Survival rates for breast cancer (BC) are often based on the outcomes of this disease. The aim of this study was to compare the performance of three survival models, namely Cox regression, Aalen's, and Lin and Ying's additive hazards (AH) models for identifying the prognostic f...

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Detalles Bibliográficos
Autores principales: Ataee Dizaji, Parisa, Vasheghani Farahani, Mahtab, Sheikhaliyan, Ayeh, Biglarian, Akbar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698387/
https://www.ncbi.nlm.nih.gov/pubmed/33273944
http://dx.doi.org/10.4103/jrms.JRMS_701_19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698387/
https://www.ncbi.nlm.nih.gov/pubmed/33273944
http://dx.doi.org/10.4103/jrms.JRMS_701_19

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