What is the translation of " COX REGRESSION " in Chinese?

• cox回归

Examples of using Cox regression in English and their translations into Chinese

The Cox Regression Method.
中COX回归模型.

Interpretation of the Cox regression results.
评价Cox回归的预测效果.

Cox regression is a form of survival analysis.
Cox回归是一种多变量的生存分析方法。

Relative survival and Cox regression were performed.
采用了多个逻辑回归和Cox回归的生存。

Cox regression models were adjusted for disease risk factors.
Cox比例危险回归模型对心血管疾病风险因素进行调整。

The risk ratios from the Cox regression model are shown in Table 2.
Cox比例风险回归的结果见表2。

Cox regression was used to assess the association between CVD-RFs and outcomes.
Cox回归用于评估CVD-RFs与结局之间的相关性。

Long-term incidence of AF was estimated by cumulative incidence curves and multivariable Cox regression models.
通过累积发病率曲线和多变量Cox回归模型估计AF的长期发病率。

Cox regression was used to calculate unadjusted and adjusted hazard ratios(HRs).
Cox比例风险回归用于计算未调整和调整后的死亡率风险比（hrs）。

Furthermore, the prognostic risk assessment model of 5-gene signature is established by Cox regression analysis.
此外,通过Cox回归分析建立了5基因标记物的预后风险评估模型。

Survival analysis includes Cox regression(Proportional hazards model) and Kaplan- Meier survival analysis.
存活分析包括Cox回归（比例风险模型）和Kaplan-Meier生存分析。

The model used a computational learning strategy technically referred to as an ensemble of penalized Cox regression models, hence the model's name ePCR.
该模型使用计算学习策略，在技术上称为惩罚Cox回归模型的集合，因此模型的名称为ePCR。

Cox regression was used to evaluate the association between a new cancer diagnosis and subsequent cerebrovascular events.
Cox回归用于评估新发癌症诊断与随后脑血管事件之间的关联。

Incidence rate, Kaplan-Meier, and multivariable Cox regression models were used to assess differences in time to event(KSHV seroconversion) between groups.
发生率、Kaplan-Meier和多变量Cox回归模型用于评估组间发生事件（KSHV血清学转换）的时间差异。

Cox regression was used to calculate risk of death from cardiovascular disease(CVD), major CVD events, hospitalizations for heart failure(HF), and total deaths.
Cox回归用于计算心血管疾病（CVD）、主要CVD事件、心力衰竭（HF）住院和总死亡的死亡风险。

It can be widely used in anomaly detection, Bayesian networks, CARMA, Cox regression and basic neural networks that use multilayer perceptron with back-propagation learning.
它可广泛用于异常检测、贝叶斯网络、CARMA、Cox回归以及使用多层感知器和反向传播学习的基本神经网络。

We used Cox regression models to obtain adjusted relative risks that compared categories of smokers or ex-smokers with otherwise similar never-smokers.
我们采用Cox回归模型获得了与其他方面类似的不吸烟者相比，吸烟者或戒烟者的校正相对风险。

It can also be used for anomaly detection, Bayesian networks, CARMA, Cox regression and basic neural networks that use multilayer perceptron with back-propagation learning.
它也可以用于异常检测、贝叶斯网络、carma、cox回归以及使用多层感知器进行反向传播学习的基本神经网络。

Select Cox regression to perform proportional hazard regression with time-to-response or duration response as the dependent variable.
选择Cox回归执行比例风险回归，以响应时间（time-to-response）或疗效持续时间（durationresponse）作为因变量。

It can be extensively applied in Bayesian networks, anomaly detection, CARMA, Cox regression and basic neural networks that utilise multilayer perceptron with back-propagation learning.
它可广泛用于异常检测、贝叶斯网络、CARMA、Cox回归以及使用多层感知器和反向传播学习的基本神经网络。

Note that that Cox regression is so popular in the PubMed data because it is frequently used for analyzing Kaplan-Meier survival data.
注意，Cox回归在PubMed数据中非常流行，因为它常被用于分析Kaplan-Meier存活数据。

Multivariate analysis was carried out using Cox survival regression analysis.
采用Cox回归分析对生存期进行多变量分析。

Cox proportional hazard regression analysis for 30-day mortality.
表格2对14天和30天死亡率的相关危险因素进行Cox回归分析.

Cox proportional hazards regression models were developed to identify risk factors for complications.
建立Cox危险回归模型来识别导致并发症的危险因素。

Cox proportional-hazards regression analyses, with assessment of interactions between all significant variables, were used to identify predictors of ICH.
Cox比例风险回归分析，评估所有重要变量之间的相互关系，用于确定ICH的预测因子。

Cox proportional hazards regression was used to calculate the unadjusted and adjusted hazard ratios(HR).
Cox比例风险回归用于计算未调整和调整后的死亡率风险比（hrs）。

We used Kaplan-Meier analysis and Cox proportional hazards regression to investigate survival in the two-year period following diagnosis.
使用Kaplan-Meier分析和Cox比例风险回归来分析诊断后两年的生存率。

The classic use of Cox proportional hazards regression indicated a 95 percent confidence interval of 1.04 to 1.32.
Cox比例风险回归分析表明95%的置信区间为1.04～1.32。