1
Objectives: To identify factors associated with eligible patient dropout from bariatric surgery.
2
Network analysis helped identify factors likely to improve partnerships around AT policies.
3
This study aims to identify factors contributing to good or impaired QUOL.
4
We used ordered logistic regression to identify factors associated with CPR duration.
5
We used Cox proportional hazards models to identify factors associated with outcomes.
6
Cox proportional hazard modeling was used to identify factors associated with LEA.
7
We sought to identify factors required for epithelial repair following NE exposure.
8
Multivariable regression models were constructed to identify factors associated with severe symptoms.
9
Logistic regression analysis was performed to identify factors associated with distant metastasis.
10
More work is needed to identify factors contributing to cancer mortality disparities.
11
Logistic regression was used to identify factors associated with lack of statistical power.
12
Multivariate logistic regression analysis was used to identify factors associated with recent infection.
13
Objectives: To identify factors associated with remaining healthy in older adults.
14
Multivariate logistic regression analysis done to identify factors associated with consistent condom use.
15
Multivariate logistic regression analyses were used to identify factors related to HIV infection.
16
Univariate logistic regression was used to identify factors associated with positive surgical margins.
