我们对所收集的数据进行多元逻辑回归分析(Multiple Logistic Regression)和逐步逻辑 回归分析(Stepwise Logistic Regression),以探讨身体不同部分肌腱不适症与工作环境、 办公室人的个人特性、职业、...
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multiple Logistic regression model 多元Logistic回归模型
Logistic multiple regression Logistic多元回归分析 ; logistic多元回归
multiple logistic stepwise regression analysis 多元logistic逐步回归
Multiple-stepwise logistic regression analysis 多元逐步Logistic回归分析
multiple conditional logistic regression analysis 多因素条件logistic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。
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。
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。
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