logistic regression信息详情
逻辑回归；罗吉斯回归
logistic───adj.后勤的，与后勤有关的；安排协调方面的；组织上的；n.数理逻辑；符号逻辑
robust regression───稳定回归
regression test───n.回归测试
ordinal regression───有序回归
regression equation───[数]回归方程；回归方程式
linear regression───[数]线性回归
logistic supporting───[军]后勤支援；后勤保障
logistic function───[计] 逻辑函数
logistic distribution───逻辑斯谛分布
The data were analysed using conditional logistic regression.───使用条件逻辑回归对数据进行分析。
Adjusted odds ratios were estimated with logistic regression.───用逻辑回归法评估了调整后比率。
Logistic regression models were used to compute adjusted odds ratios.───使用逻辑回归模型计算调整优势比。
Variables with a significant univariate relationship were loaded into a series of binary logistic regression models.───和单变量关系哒重要变量被装进一个二元逻辑回归模型系列。
By our logistic regression analysis, the age of pregnancy might be associated with type 1 diabetes.───在本项研究中还发现母孕年龄是影响儿童1型糖尿病发生的危险因素之一。
Multivariate logistic regression analysis revealed that hyperuricemia was an independent risk factor of CAD.───多因素逐步回归显示，高尿酸血症是冠心病的独立危险因素。
Multiple logistic regression analysis was used to identify factors associated with a good outcome.───应用多元对数回归分析明确哪些因素与良好的临床结果存在相关性。
With binary logistic regression analysis to CHD, to evaluate whether serum uric acid is an independent risk factor of CHD or not.───对冠心病组进行Logistic回归分析，探讨血尿酸是否为冠心病的独立危险因素。
The result of logistic regression analysis indicated that serum bilirubin, uric acid were the independent risk factors.───Logistic多元回归分析发现，血清胆红素、尿酸均为脑梗死患者颈动脉粥样硬化的独立危险因素。
Logistic regression models were used to determine which variables significantly and independently could predict bacterial pneumonia and to adjust for potential confounders.
On logistic regression, the presence and extent of gastric metaplasia was not significantly associated with H pylori infection.
The logistic regression analysis showed that of the seven reflux variables only hiatal hernia predicted oesophageal mucosal status.
Respiratory symptoms were analysed by multiple logistic regression and lung function standard deviation scores by multiple linear regression.
Two stepwise logistic regression procedures were performed.
Methods Multiple factor logistic regression model were conducted to analyse the field survey data.
This survival difference persisted after multiple logistic regression analysis.
Multivariate analysis was carried out by unconditional logistic regression analysis.
The use of multiple logistic regression allowed the selection of the most useful clinical signs which are predictive of hypoxaemia.