نتایج جستجو برای: parametric survival model
تعداد نتایج: 2429610 فیلتر نتایج به سال:
Background and purpose: Due to the difficulty of diagnosis, esophageal and gastric cancers have a special position in Mazandaran Province. Ïn this province, gastric cancer is considered to be one the most important causes of mortality therefore, this study was conducted to investigate the survival of patients with gastric cancer in Mazandaran. Materials and methods: Ïn this historical Çoho...
Background and Aim: Thyroid cancer is one of the most common endocrine system cancer and rare types of cancers. However, despite to low death rate, the prevalence of this disease is high. Different factors affected on incident, recurrence and death in thyroid cancer patients. This study aimed to identify these factors. Method: In this historical cohort study, 631 cases of thyroid cancer referr...
background : gastric cancer is the one of the most prevalent reason of cancer-related death in the world. survival of patients after surgery involves identifying risk factors. there are various models to detect the effect of risk factors on patients’ survival. the present study aims at evaluating these models. methods : data from 330 gastric cancer patients diagnosed at the iran cancer institut...
Introduction: The most important models used in analysis of survival data is proportional hazards models. Applying this model requires establishment of the relevance proportional hazards assumption, otherwise it world lead to incorrect inference. This study aims to evaluate Cox and Weibull models which are used in identification of effective factors on survival time in acute leukemia. Me...
By existing censor and skewness in survival data, some models such as weibull are used to analyzing survival data. In addition, parametric and semiparametric models can be obtained from baseline hazard function of Cox model to fit to survival data. However these models are popular because of their simple usage but do not consider unknown risk factors, that's why cannot introduce the be...
Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox m...
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 c...
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