| Título: | The Estimation of Survival Function for Colon Cancer Data in Tehran Using Non-parametric Bayesian Model |
| Autores: |
Abadi, Alireza; Dept. of Community Medicine and
Health, Shahid Beheshti University of
Medical Sciences, Tehran, Iran Ahmadi, Farzaneh; Dept. of Biostatistics, School of Paramedical, Shahid Beheshti University of Medical Sciences, Tehran, Iran Alavi Majd, Hamaid; Dept. of Biostatistics, School of Paramedical, Shahid Beheshti University of Medical Sciences, Tehran, Iran Akbari, Mohammad Esmaeil; Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran Abolfazli Khonbi, Zainab; Dept. of English Language, Kashan University of Medical Sciences, Kashan, Iran Davoudi Monfared, Esmat; Dept. of Community Medicine and Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran |
| Fecha: | 2013-09-03 |
| Publicador: | Shahid Beheshti University of Medical Sciences |
| Fuente: |
Ver documento |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | Non-parametric Bayesian; Colon cancer; Survival; Iran; Tehran |
| Descripción: | Background: Colon cancer is the third cause of cancer deaths. Although colon cancer survival time has increased in recent years, the mortality rate is still high. The Cox model is the most common regression model often used in medical research in survival analysis, but most of the time the effect of at least one of the independent factors changes over time, so the model cannot be used. In the current study, the survival function for colon cancer patients in Tehran is estimated using non-parametric Bayesian model.Methods: In this survival study, 580 patients with colon cancer who were recorded in the Cancer Research Center of Shahid Beheshti University of Medical Sciences since April 2005 to November 2006 were studied and followed up for a period of 5 years. Survival function was plotted with non-parametric Bayesian model and was compared with the Kaplan–Meier curve.Results: Of the total of 580 patients, 69.9% of patients were alive. 45.9% of patients were male and the mean age of cancer diagnosis was 65.12 (SD= 12.26) and 87.7 of the patients underwent surgery. There was a significant relationship between age at diagnosis and sex and the survival time while there was a non-significant relationship between the type of treatment and the survival time. The survival functions corresponding to the two treatment groups cross, in comparison with the patients who had no surgery in the first 30 months, showed a higher level of risk in the patients who underwent a surgery. 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| Idioma: | Inglés |
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