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None of the independent variables were identified as significant predictors of student performance.
Gender and education level were often found as significant predictors of PEBs.
Multiple linear regression identified exercise capacity and BMI as significant predictors of BMD.
Work and social adjustment, depression and dysfunctional cognitions emerged as significant predictors of QoL.
In addition, the demographic and preoperative characteristics that served as significant predictors of sepsis were identified using multivariable regression analysis.
Both startup capital and psychological capital emerged as significant predictors of entrepreneurial success; however, psychological capital was the better predictor.
The participants' early experience in exam-writing and gender were found as significant predictors of the quality of questions.
Eleven of the twelve birth variables examined presented as significant predictors of contact with child protective services.
Multivariate analysis identified age and economic status as significant predictors of arsenicosis controlling for education and gender.
They identify hospitalizations, medications, alcohol abuse, cancer, bipolar disorder, female sex, dementia, non-alcohol substance abuse, and chronic liver disease as significant predictors of anticoagulation control.
We sequentially added other variables to this preliminary model according to the proportion of bootstrap samples in which we selected these variables as significant predictors.
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