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及生活因素。
Age, top temperature and operation history of midsection were correlated with longer duration of hospitalization by COX regression analysis.
多因素分析上腹部手术史、体温和年龄是造成术后住院时间延长的危险因素。
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都作为其终点，以测定不良结果的危险因素。
The incidence of loss to follow-up was calculated using Kaplan–Meier 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，而追踪损失的相关因素则利用logistic回归分析和Cox多元回归分析加以确定。
In a survival analysis we calculated hazard ratios for diagnosis of cancer, adjusted for baseline characteristics of the two groups using Cox regression.
在一项生存分析中，通过COX回归分析校正了两组的基线特征，计算出患癌症的风险系数。
In a survival analysis we calculated hazard ratios for diagnosis of cancer, adjusted for baseline characteristics of the two groups using Cox regression.
在一项生存分析中，通过COX回归分析校正了两组的基线特征，计算出患癌症的风险系数。
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