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。
Objective To sump up and extend COX regression model with categorical variables.
目的总结和推广包含分类变量的COX模型。
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。
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。
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回归模型对广西2000年出生的围产儿1075例(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。
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回归模型对广西2000年出生的围产儿1075例(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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