Examples of using Cox回归 in Chinese and their translations into English
{-}
-
Political
-
Ecclesiastic
-
Programming
评价Cox回归的预测效果.
Cox回归是一种多变量的生存分析方法。
Cox regression is a form of survival analysis.采用了多个逻辑回归和Cox回归的生存。
Relative survival and Cox regression were performed.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。
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。
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.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。
Long-term incidence of AF was estimated by cumulative incidence curves andmultivariable Cox regression models.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。
Furthermore, the prognostic risk assessmentmodel of 5-gene signature is established by Cox regression analysis.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。
Incidence rate, Kaplan-Meier, and multivariable Cox regression models were used to assess differences in time to event(KSHV seroconversion) between groups.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。
Select Cox regression to perform proportional hazard 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。
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.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。
We used Cox regression models to obtain adjusted relative risks that compared categories of smokers or ex-smokers with otherwise similar never-smokers.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。
The model used a computational learningstrategy technically referred to as an ensemble of penalized Cox regression models, hence the model's name ePCR.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。
Note that that Cox regression is so popular in the PubMed data because it is frequently used for analyzing Kaplan-Meier survival data.存活分析包括Cox回归（比例风险模型）和Kaplan-Meier生存分析。
Survival analysis includes Cox regression(Proportional hazards model) and Kaplan- Meier survival analysis.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。
Cox regression was used to calculate risk of death from cardiovascular disease(CVD), major CVD events, hospitalizations for heart failure(HF), and total deaths.采用Cox回归分析对生存期进行多变量分析。
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 hazard regression analysis for 30-day mortality.我们使用分层的Cox回归模型，计算3年打算到治疗分析中的处理过程中死亡的风险。
Using a stratified Cox regression model, we calculated risk of death during 3 yr of treatment in 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 models were developed to identify risk factors for complications.Cox比例危险回归模型对心血管疾病风险因素进行调整。
Cox regression models were adjusted for disease risk factors.研究人员使用Cox比例风险回归模型来估计NSAID与肺癌死亡的相关风险。
The researchers used Cox proportional hazards regression models to estimate how NSAID use was associated with the risk of lung cancer death.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。
We used Kaplan-Meier analysis and Cox proportional hazards regression to investigate survival in the two-year period following diagnosis.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）。
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）。
Cox regression was used to calculate unadjusted and adjusted hazard ratios(HRs).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 analyses, with assessment of interactions between all significant variables, were used to identify predictors of ICH.Cox比例风险回归分析表明95%的置信区间为1.04～1.32。
The classic use of Cox proportional hazards regression indicated a 95 percent confidence interval of 1.04 to 1.32.中COX回归模型.
