نتایج جستجو برای: Cox Proportional Regression Analysis
تعداد نتایج: 3035915 فیلتر نتایج به سال:
The proportional hazard Cox regression models play a key role in analyzing censored survival data. We use penalized methods in high dimensional scenarios to achieve more efficient models. This article reviews the penalized Cox regression for some frequently used penalty functions. Analysis of medical data namely ”mgus2” confirms the penalized Cox regression performs better than the cox regressi...
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 & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters. Fractional polynomial is one of these techniques in Cox model. The aim of this study was to assess the effects of prognostic factors on survival of patients with gastric cancer using the fractiona...
the aim of this study is to investigate iranian tefl graduates’ conception of measurement error in research. adopting a sequential explanatory multi-method strategy (borg, 2009), the researchers analyzed causal and temporal relations in the research narratives elicited from 30 tefl graduates. gee’s (1986) framework for identifying narrative discourse units (lines, stanzas, and episodes) was ado...
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...
original article extended exposure to noise can cause permanent hearing damage. this study aimed to determine the incidence time of hearing loss and its effective factors in workers exposed to noise. this retrospective cohort study, was conducted on a total of 273 workers in various sectors of kerman copper by-industries co. their hearing status and the incidence of hearing loss (hearing thre...
conclusions the use of smoothing methods helps us to eliminate non-linear effects but it is more appropriate to use cox proportional hazards model in medical data because of its’ ease of interpretation and capability of modeling both continuous and discrete covariates. also, cox proportional hazards model and smoothing methods analysis identified that age at diagnosis and tumor size were indepe...
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