Survival Analysis of Patients with Breast Cancer using Weibull Parametric Model
نویسندگان
چکیده
منابع مشابه
Survival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
متن کاملSurvival analysis of breast cancer patients with different chronic diseases through parametric and semi-parametric approaches
Introduction: There is a lack of information on the extent of dependency between chronic diseases and the survival rate of breast cancer. Until date, none of the models proposed has determined the impact of chronic diseases on breast cancer survival. This study, therefore, aimed to investigate the impacts of chronic diseases such as diabetes, blood pressure, and endocrine di...
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background: precise diagnosis of disease risk factors via efficient statistical models is the primary step for reducing the heavy costs of breast cancer, as one of the most highly prevalent cancer throughout the world. therefore, the aim of this study was to present a recently introduced statistical model in order to assess its proficiency for model fitting. methods: the information of 1465 eli...
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Background and Purpose: The goal of this study is application of the proportional hazards model (PH) and accelerated failure time model (AFT), with consideration Weibull distribution, to determine the level of effectiveness of the factors affecting on the level of disease-free survival (DFS) of the patients with breast cancer. Materials and Methods: Based on the retrospective descriptive stu...
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ژورنال
عنوان ژورنال: Asian Pacific Journal of Cancer Prevention
سال: 2016
ISSN: 1513-7368
DOI: 10.7314/apjcp.2015.16.18.8567