Nevertheless, the use of logistic regression analyses enabled us to co-vary out the contribution of the concomitant opposite deficit and experimentally disentangle both functions.
Univariate and multivariable models were computed with the use of logistic regression models.
Methods: This study undertook secondary data analysis with use of logistic regression and descriptive statistics.
For undiscovered areas, prediction of potential As-affected groundwater has been carried out by some research groups by use of logistic regression.
With the use of logistic regression analysis, we found a correct prediction in 73% of the cases.
The use of logistic regression and response surface design is proposed as an effective tool for determining a statistical model of the metal foam casting process.
With use of logistic regression, we found that birth weight >4000 g was associated with a 1.7-fold increase in risk of cesarean delivery (95% CI, 1.3-2.2).
Since few study designs require ORs (most frequently, case-control studies), their popularity is due to the widespread use of logistic regression.
This information was compared with histopathologic classification, and diagnostic algorithms were developed and validated with the use of logistic regression and cross-validation.
This study attempts to construct a prediction model based on the hybrid use of logistic regression and artificial neural networks (ANNs) for hypertension detection in a non-invasive, questionnaire-based way.
With the use of logistic regression analysis, elevated maternal serum alpha-fetoprotein was the strongest independent risk factor that was associated with intrauterine fetal demise (odds ratio, 39.48; 95% CI, 11.04%-141.25%-141.25%
