• Cox regression analyses were performed.

    数据采用回归分析处理。

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  • Cox regression was used to estimate relative risks.

    Cox回归估计相对危险

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  • Personal prognosis index based on the Cox regression model was constructed.

    建立预后指数函数可预测患者的生存期。

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  • Objective To sump up and extend COX regression model with categorical variables.

    目的总结推广包含分类变量的COX模型

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  • We used Cox regression models to estimate the risk of cancer and adjust for potential confounding factors.

    我们使用Cox回归模型估计癌症的风险根据潜在混淆因素进行校正

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  • The incidence of restenosis were calculated, and the factors of restenosis were analysed by COX regression.

    统计支架术后再狭窄发生率,分析不同危险因素对支架再狭窄影响。

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  • Cox regression analysis was carried out with adjustment for known clinical predictors and other lifestyle factors.

    通过Cox回归模型调整已知的乳腺癌预后因素生活因素。

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  • COX regression model was established to analyze the peaks of the metastasis and relapse, and the life curves of patients.

    建立COX回归模型分析肿瘤转移复发高发期生存曲线。

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  • Cox regression was performed to estimate the association between different risk factors and graft survival and acute rejection episodes.

    Cox回归用来估计不同危险因素移植肾存活急性排斥关系

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  • Age, top temperature and operation history of midsection were correlated with longer duration of hospitalization by COX regression analysis.

    多因素分析腹部手术体温年龄造成术后住院时间延长危险因素。

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  • Cox regression was used to screen out single and multiple risk factors. Cumulative survival rate was calculated by life table and Gehan score test.

    因素生存分析寿命计算,以生存曲线描述生存率,进行Gehan比分检验

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  • Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.

    贝叶斯推理模型广义线性模型加速寿命故障模式Cox回归模型和分段指数模型。

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  • In a survival analysis we calculated hazard ratios for diagnosis of cancer, adjusted for baseline characteristics of the two groups using Cox regression.

    一项生存分析中,通过COX回归分析校正基线特征计算出患癌症风险系数。

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  • Cox regression analysis with any reoperation performed for the treatment of infection as the end point was performed to determine the risk factors for this adverse outcome.

    Cox回归分析,无论采取何种手术治疗术后感染作为终点测定不良结果危险因素

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  • With Cox regression patients with AF were shown to be at higher risk of dying from embolism (adjusted hazard ratio 4.33 95 confidence interval 1.78 to 10.52) but not from other causes.

    Cox回归分析法显示房颤患者栓塞风险更高调整后危险, 4.33 95 %可信区间为 1.78至10.52 ) ,不是讲死于其他原因。

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  • The rate of relapse-metastasis and disease free survival for two groups were observed. 9 possible factors influencing disease free survival were selected to analyze with COX Regression model.

    选择9可能大肠癌术后生存产生影响因素,通过COX模型进行多因素分析

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  • Methods: Intervention modeling was carried out on 1075 perinatals (317 cases with birth defects, 758 cases without birth defects as control) born in Guangxi province in 2000 with COX regression model.

    方法采用COX回归模型广西2000年出生产儿1075(包括出生缺陷儿317例和正常对照儿758例)进行干预模式拟合。

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  • The incidence of loss to follow-up was calculated using KaplanMeier methods and factors associated with loss to follow-up were identified by logistic and Cox multivariate regression analysis.

    追踪损失发生率利用Kaplan -Meier方法加以计算追踪损失的相关因素则利用logistic回归分析Cox多元回归分析加以确定。

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  • The incidence of loss to follow-up was calculated using KaplanMeier methods and factors associated with loss to follow-up were identified by logistic and Cox multivariate regression analysis.

    追踪损失发生率利用Kaplan -Meier方法加以计算追踪损失的相关因素则利用logistic回归分析Cox多元回归分析加以确定。

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