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。

A way to solve this problem is to perform logistic regression.

解决此问题的一种方法是进行逻辑回归。

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。

Analyses were adjusted for confounding variables using logistic regression.

使用逻辑回归调整了混杂变量分析。

Logistic regression was used to identify factors associated with antibiotic misuse.

我们使用逻辑回归确定与抗生素滥用相关的因素。

Both logistic regression and artificial neural network (ANN) models were developed.

逻辑退化和人工神经网模型均被制定。

A logistic regression model was then used to study factors predicting severity of foot injury.

然后利用逻辑回归模型研究足外伤的严重性预测因素。

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。

The team used logistic regression analysis to test the influence of the season (spring) in the results.

研究组应用了逻辑回归法分析了结果中季节(春季)的影响。

Comparing Variable Selection Methods for Microarray Classification Models Based on Logistic Regression.

根据逻辑回归方法来对微阵列归类模型做各种不同选择方法的比较。

Applying L1 or L2 to penalize large coefficients is a common way to regularize linear or logistic regression.

使用L1或L2去惩罚大系数是一种正则化线性或逻辑回归模型的常见方式。

Logistic regression analysis was implemented to find an association of such variables with the presence of ssi.

逻辑式回回归分析ssi和这些风险因素的关系。

The analysis methods were used logistic regression model for the coma duration prognostication model established.

昏迷时间预测模型的建立采用逐步回归分析。

When building a binary classifier, many practitioners immediately jump to logistic regression because it's simple.

当构建一个二元分类器时，很多实践者会立即跳转到逻辑回归，因为它很简单。

Variables with a significant univariate relationship were loaded into a series of binary logistic regression models.

变量之间的关系具有分被装载到一串二进制逻辑回归模型。

Risk factors for surgical site infection were determined with univariate analyses and multivariate logistic regression.

我们进行了案例对照研究来确定脊柱外科手术部位感染的危险因素。

Finally, in order to understand this issue more deeply, we also build churn prediction model with Logistic regression model.

最后，为了更加深入的探讨流失预警模型，本文还采用逻辑回归模型建立了客户流失预警模型。

You can use logistic regression to describe which input columns are important in determining the state of the predictable column.

可以使用逻辑回归来说明在确定可预测列状态时输入列的重要程度。

For example, when logistic regression is used to recommend cesarean delivery, the AI system does not examine the patient directly.

例如当逻辑回归用于剖腹产推荐时，人工智能系统不会直接去检查病人。

A simple machine learning algorithm called logistic regression can determine whether to recommend cesarean delivery Mor-Yosef et al.

一个简单的机器学习算法逻辑斯地回归能够决定是否推荐剖腹产Mor - Yosef et al。

A logistic regression test of the distribution of different blood types found no significant difference between patients and controls.

对不同血型的分布进行逻辑回归分析后发现哮喘患者和对照组之间无明显差异。

Logistic regression analysis revealed that LDL and hypertension were independent risk factors for cerebral white matter chronic ischemia.

逻辑回归分析提示LDL和高血压是脑白质慢性缺血的单独致病危险因素。

And then it analyzes the data processing, calibrates the model by using the Logistic regression method, and evaluates model applicability.

并对模型数据搜集和处理、模型的标定以及适应性进行分析。

Overall, ANNs have higher predictive ability than logistic regression, perhaps because they are not affected by interactions between factors.

结论：综上所述，人工神经网模型比起逻辑退化有较高的可预测性，可能由于它们不受因素间的交互影响。

This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.

这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。

Logistic regression analysis was performed to determine the magnitude and effect of the independent variables on each of the study end points.

Logistic回归分析明确其重要性以及自变量对各个研究终点的影响。

The text analyzes the influencing factors of private forest's cooperative management willingness, through constructing logistic regression model.

通过构建逻辑斯蒂回归模型，分析影响私有林合作经营意愿的因素。

A simple clinical scoring system was developed on the basis of regression coefficients of predictors in a multivariable logistic regression model.

在多变量逻辑回归模型中，开发基于回归系数预测程序的一个简单的临床评分体系。