the cox regression model cox模型
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。
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