نتایج جستجو برای: cox model
تعداد نتایج: 2138147 فیلتر نتایج به سال:
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: although the cox proportional hazard regression is the most popular model for analyzing the prognostic factors on survival of cancer patients, under certain circumstances, parametric models estimate the parameter more efficiently than the cox model. the aim of this study was to compare the cox regression model with parametric models in patients with gastric cancer who registered a...
Background: Beta-thalassemia major is a very severe blood disease, its Clinical signs are premature and appear from 3 to 6 months of age. It is one of the most common monogenic diseases in the world and in Iran, and if it is not diagnosed and treated during the first years of life, it will lead to death. In this study, to check the factors affecting the survival of patients with beta-thalassemi...
Background and Objectives: The Cox model is one of the methods used in survival data; however, the use of hierarchical data, such as the data of this study, violates the assumption of independence, the the Cox model cannot be used assuming independence of observations. One of the important methods for analyzing survival hierarchy data is the use of the multilevel Cox model. In this method, in ...
Introduction & Objective: Cox model is a common method to estimate survival and validity of the results is dependent on the proportional hazards assumption. K- Nearest neighbor is a nonparametric method for survival probability in heterogeneous communities. The purpose of this study was to compare the performance of k- nearest neighbor method (K-NN) with Cox model. Materials & Methods: This ...
background : the aim of this study was to predict the survival rate of iranian gastric cancer patients using the cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients. methods: in this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery...
Background and purpose: One of the most common methods used to estimate the effects of explanatory variables on survival time, is Cox semi parametric model. However, under certain circumstances, accelerated failure time parametric models are superior to the Cox model. The purpose of this study was to assess the efficiency of parametric and semi-parametric models in survival analysis of patients...
Background: The occupational exposure conditions such as dust concentration, exposure time, smoking status and use of respiratory protection device are effective on pulmonary function disorder. The aim of this study was to determine the risk of pulmonary function disorder in the workers exposed to silica dust in the stone crushing by using Cox regression model. Method: 117 of workers employ...
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