Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model.

Heinzl H

首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model.

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Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model.

机译：使用SAS计算Cox比例风险回归模型的Kent和O'Quigley依赖性度量。

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Kent and O'Quigley (1988) apply the concept of information gain to define a measure of dependence (R-squared measure) between explanatory variables and a censored response variable within the framework of the Cox model. Two SAS macros to calculate this measure are presented. The first one is based on a Newton-Raphson search and makes use of the SAS IML procedure. The second one is a simple grid search using SAS DATA steps and Base-SAS procedures.

机译：肯特和奥奎格利（Kent and O'Quigley，1988）应用信息增益的概念来定义在Cox模型框架内解释变量和审查响应变量之间的依存性度量（R平方度量）。给出了两个SAS宏来计算此度量。第一个基于Newton-Raphson搜索并利用SAS IML过程。第二个是使用SAS DATA步骤和Base-SAS过程的简单网格搜索。

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《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2000年第1期|共6页
作者
Heinzl H;
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正文语种 eng
中图分类计算机的应用;
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Data Interpretation; Statistical; Numerical Analysis; Computer-Assisted; 数据说明; 统计; 数值分析; 计算机辅助; 比例危险度模型; 软件; 存活率分析;

机译：Data Interpretation;Statistical;Numerical Analysis;Computer-Assisted;数据说明;统计;数值分析;计算机辅助;比例危险度模型;软件;存活率分析;

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1. Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model. [J] . Heinzl H Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2000,第1期

机译：使用SAS计算Cox比例风险回归模型的Kent和O'Quigley依赖性度量。
2. Time-dependent covariates in the Cox proportional-hazards regression model. [J] . Fisher LD, Lin DY Annual Review of Public Health . 1999,第0期

机译：Cox比例风险回归模型中的时间相关协变量。
3. Measures to assess the prognostic ability of the stratified Cox proportional hazards model. [J] . Statistics in medicine . 2009,第3期

机译：评估分层Cox比例风险模型的预后能力的措施。
4. Evolutionary algorithms applied to likelihood function maximization during poisson, logistic, and Cox proportional hazards regression analysis [C] . Peterson Leif E. IEEE Congress on Evolutionary Computation . 2014

机译：进化算法应用于泊松，逻辑和Cox比例风险回归分析期间的似然函数最大化
5. Development and Validation of Risk Stratification Models in a Cohort of Community-living Homebound Older Adults, Comparison of Three Methods: Logistic Regression, Random Forest, and Cox Proportional Hazard Regression [D] . Nasiriahmadabadi, Mojdeh . 2019

机译：社区生活队列风险分层模型的开发与验证，三种方法比较：逻辑回归，随机森林和Cox比例危险回归
6. Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model [O] . Peter C Austin, Michael J Pencinca, Ewout W Steyerberg -1

机译：新型危险因素和标志物的预测准确性：Cox比例风险回归模型中不同性能指标敏感性的模拟研究
7. Prognosis of liver cirrhosis considered by the Cox's proportional hazards regression model. [O] . Etsuko HASHIMOTO, Hikaru NAGAHARA, Hiroaki OKUDA, 1988

机译：Cox比例危害回归模型考虑了肝硬化预后。

Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model.

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