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.
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。
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。
Logistic regression models were used to identify factors associated with self-reported financial difficulties in purchasing ART during the previous 3 months.
采用逻辑回归模型来确定前三个月自称在接受ART方面存在经济困难的相关因素。
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。
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。
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。
Intention-to-treat analysis was performed with the use of linear regression and logistic-regression models.
意向性治疗分析则使用线性回归及逻辑回归分析模型。
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。
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。
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