Open AccessThe Evaluation of Survival Rate in Patients with Prostate Cancer by Bayesian Weibull Parametric Accelerated Failure-Time Model
Author(s) -
Nahid Askari Tajabadi,
Hamid Pakmanesh,
Moghaddameh Mirzaee,
Yunes Jahani
Publication year - 2022
Publication title -
iranian journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.452
H-Index - 39
eISSN - 2251-6093
pISSN - 2251-6085
DOI - 10.18502/ijph.v51i9.10566
Subject(s) - medicine , prostate cancer , survival analysis , survival rate , prostatectomy , cancer , proportional hazards model , log rank test , radiation therapy , retrospective cohort study , surgery , oncology
Prostate cancer is the most prevalent malignancy in men. This study was carried out to determine effective factors on the survival rate of patients diagnosed with prostate cancer in Kerman, Iran.