نتایج جستجو برای: cox models
تعداد نتایج: 943575 فیلتر نتایج به سال:
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...
Probabilistic properties of Cox processes of relevance for statistical modeling and inference are studied. Particularly, we study the most important classes of Cox processes, including log Gaussian Cox processes, shot noise Cox processes, and permanent Cox processes. We consider moment properties and point process operations such as thinning, displacements, and superpositioning. We also discuss...
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 Objective: Breast cancer is one of the most common cancers in women worldwide. This study was conducted to analyze the factors related to survival of patients with breast cancer using two models of Cox proportional specific-cause and sub-distribution models (direct modeling of cumulative incidence). These patients were at the competitive risk of death from breast cancer and also ...
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...
Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...
cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. in recent decades, artificial neural network model has been increasingly applied to predict survival data. this research was conducted to compare cox regression and artificial neural network models in prediction of kidney transplant survival. the prese...
Like many other projects, this software library started with a data set and a problem. From this came statistical ideas for a solution, followed by some initial programming — which more than anything else helped to define the real computational and statistical issues — and then a more ambitious programming solution. The problem turned out to be harder than I thought; the first release-worthy co...
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