Analyses of birth weight as a categorical variable conducted separately for men and women showed no sex-dependency in the birth weight-LTPA association (table 4).
Finally, we evaluated a higher number of variables, conducted an analysis based on the standardized mean difference of reduction in norepinephrine requirement, and performed a more robust sensitivity analysis.
So, we select p11 as the variable to conduct the evaluation.
As such, they were treated as continuous variables to conduct the tests for normality.
To determine the overall influence of each of our independent variables on acceptance (dependent variable), we conducted a regression analysis.
Multiple regression with profitability as dependent variable is conducted with the four outsourcing strategies as explanatory variables while simultaneously controlling for enterprise size and strategic direction.
In total, 30 variables were studied, while each variable was conducted on 6 identical specimens in order to increase the reliability of the results.
Simple linear regression analysis with Pv aCO2/Ca vO2 as the outcome variable was conducted, and variables showing a P value <0.20 or physiologically plausible were entered in a multiple linear regression model.
and significance values were reported for each variable comparison conducted.
In addition to one-way sensitivity analyses for all variables, we conduct probabilistic sensitivity analyses.
