Personal prognosis index based on the Cox regression model was constructed.
建立了预后指数函数可预测患者的生存期。
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。
We used Cox regression models to estimate the risk of cancer and adjust for potential confounding factors.
我们使用Cox回归模型来估计罹患癌症的风险并根据潜在的混淆因素进行校正。
Cox regression was performed to estimate the association between different risk factors and graft survival and acute rejection episodes.
Cox回归是用来估计不同危险因素与移植肾存活和急性排斥的关系。
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。
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和生存曲线。
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 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的影响。
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个可能对大肠癌术后无病生存产生影响的因素，通过COX模型进行多因素分析。
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个可能对大肠癌术后无病生存产生影响的因素，通过COX模型进行多因素分析。
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