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。
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。
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。
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。
This survival difference persisted after multiple logistic regression analysis.
在多元分析后，二者之间的不同仍在持续。
At last adopted the case check method and Multiple Logistic regression analysis to deal with the masked symptom of hepatobiliary system and Chinese medical constitution and a type behavior.
其次采用病例对照的研究方法对中医肝胆隐症和体质类型、A型行为的关系进行统计分析和研究。
At last adopted the case check method and Multiple Logistic regression analysis to deal with the masked symptom of hepatobiliary system and Chinese medical constitution and a type behavior.
其次采用病例对照的研究方法对中医肝胆隐症和体质类型、A型行为的关系进行统计分析和研究。
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