Comparison of Survival Models for Analyzing Prognostic Factors in Gastric Cancer Patients

OBJECTIVE: There are a number of models for determining risk factors for survival of patients with gastric cancer. This study was conducted to select the model showing the best fit with available data. METHODS: Cox regression and parametric models (Exponential, Weibull, Gompertz, Log normal, Log log...

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Detalles Bibliográficos
Autores principales: Habibi, Danial, Rafiei, Mohammad, Chehrei, Ali, Shayan, Zahra, Tafaqodi, Soheil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980851/
https://www.ncbi.nlm.nih.gov/pubmed/29582630
http://dx.doi.org/10.22034/APJCP.2018.19.3.749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980851/
https://www.ncbi.nlm.nih.gov/pubmed/29582630
http://dx.doi.org/10.22034/APJCP.2018.19.3.749

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