نتایج جستجو برای: cox ph regression

تعداد نتایج: 510863  

Fallahzadeh, Hossein , Mohammadzadeh, Morteza , Nikpour, Abolfazl , Pahlevani, Nima , Pahlevani, Vida ,

  Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell lung cancer. Materials and Methods: Survival status of all 190 patients diagnosed with Non-Small Cell lung cancer referring to hospitals in ...

2017
Saeed Hosseini Teshnizi Seyyed Mohammad Taghi Ayatollahi

Background: Finding the most appropriate regression model for survival data in cancer casesin order to determine prognosis is an important issue in medical research. Here we compare Cox and parametric regression models regarding survival of children with acute leukemia in southern Iran. Methods: In a retrospective cohort study, information for 197 children with acute leukemia over 6 years was c...

2008
Bernd Fitzenberger Ralf A. Wilke Xuan Zhang

The Box-Cox quantile regression model introduced by Powell (1991) is a flexible and numerically attractive extension of linear quantile regression techniques. Chamberlain (1994) and Buchinsky (1995) suggest a two stage estimator for this model but the objective function in stage two of their method may not be defined in an application. We suggest a modification of the estimator which is easy to...

2011

In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression method, and to provide some guidance regarding the presentation of the results. Cop...

ابدی, علیرضا, حاجی زاده, ابراهیم, زالی, محمد رضا, صفایی, آزاده, مقیمی دهکردی, بیژن, پورحسینقلی, محمدامین,

Background & Objectives: Although Cox regression is commonly used to detect relationships between patient survival and demographic/clinical variables, there are situations where parametric models can yield more accurate results. The objective of this study was to compare two survival regression methods, namely Cox regression and parametric models, in patients with gastric carcinoma registered a...

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