The data were analysed using conditional logistic regression.
使用条件逻辑回归对数据进行分析。
Analyses were adjusted for confounding variables using logistic regression.
使用逻辑回归调整了混杂变量分析。
Although larvicide has been distributed in 94 districts since 2002, logistic regression analysis showed no association between the intervention and dengue incidence.
虽然2002年以来杀幼虫剂已在94个地区分发，但是logistic回归分析显示，干预措施和登革热发病率没有关联关系。
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。
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。
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。
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。
A logistic regression model was used to investigate the connection between different dichotomous variables with mortality.
逻辑回归模型，用于研究不同的二分变量与死亡率之间的连接。
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 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。
Univariate and multivariate logistic regression was used to determine which factors had a statistically significant effect on mortality.
采用单变量以及多变量逻辑回归来分析确定显著影响死亡率的因素。
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。
The clinicopathological parameters associated with HCC rupture were investigated using univariate and multivariate logistic regression models.
研究人员通过单变量及多变量逻辑回归模型，对破裂HCC相关的临床病理学参数进行了考察。
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。
Multivariate stepwise logistic regression showed that age, CH were significant factors for carotid artery arteriosclerosis in cerebral stroke patients.
对多元逐步回归分析显示：年龄、总胆固醇是引起脑梗塞患者颈动脉硬化的主要危险因素。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
They also enable the use of multinomial logistic regression algorithm to classify the network flow, and reduce the complexity of the traditional algorithms.
同时利用该组特征仅需采用多项逻辑斯谛回归算法即可实现网络流量的分类，较传统流量分类算法有较低的复杂度。
Method The clinical and follow-up data of 31 patients with CAAH were reviewed. Their clinical data were examined and subjected to logistic regression analysis.
方法回顾分析31例CAAH患者的临床及随访资料，对获得的资料进行逻辑回归分析。
We used multiple logistic regression models to examine the association between spondylolysis, spondylolisthesis, and LBP, while adjusting for gender, age, and BMI.
在校正性别，年龄及BMI后，我们采用多因素对数回归模型对LBP与椎体滑脱或脊柱前移的关系进行了分析。
For kidney transplant recipients, the factors that influence pregnancy outcome were studied using logistic regression, and the effect of pregnancy on graft function was analyzed.
对于接受肾移植的患者，用回归分析方法对其影响妊娠结局的因素进行研究，同时分析了妊娠对移植肾功能的影响。
Multiple logistic regression analyses were used to determine the association between usual number of hours of sleep during a 24-h period and si and SA (past 12 months and lifetime).
应用多元逻辑回归分析方法确定24小时的一个周期内常规睡眠的小时数与SI和SA(过去12个月和一生)之间的关系。
If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.
倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。
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。
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。
The relation between FMD and coronary lesions was analyzed by Logistic regression analysis.
以Logistic回归分析：冠脉病变支数与FMD的关系。
The relation between FMD and coronary lesions was analyzed by Logistic regression analysis.
以Logistic回归分析：冠脉病变支数与FMD的关系。
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