Considerable interactions occur among these variables.
The relationships among these variables were determined, adjusting for age and gender.
A multi-objective optimization is also performed to obtain the best trade-offs among these variables.
The relationships among these variables, however, have neither been investigated nor reported to date.
Correlation and causal research designs were used to define the relationship among these variables.
However, the patterns of relationships vary when comparing correlations among these variables in nurses, physicians and the rest of the healthcare workforce.
Among these variables can be surgical technique, clinical ability, restorative materials, the use of pooled data, and interpretation of data.
Results from Chi-squared analysis and Ordinal Logistic Regression show that there is a statistically significance relationship among these variables.
Epidemiologists frequently collect data on multiple categorical variables with the goal of examining associations among these variables.
Among these variables, biomass density (BD) and average precipitation of the warmest quarter had the highest significance, followed by others.
Among these variables, vent time showed the highest effect on the analytical response (signal intensity) of the target PAHs.
