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Bivariate analyses (X 2 test and Fisher's exact two-sided p test) were conducted between each independent variable and the outcome variables ADS and AAS independently to identify possible contributory factors.
The student's t test and P value also indicate the interaction strength between each independent variable.
The P-values are used as a tool to check the significance of each coefficient, which also indicate the interaction strength between each independent variable.
The correlations between each independent variable with the output variable (perceived BLOS score) were assessed using Spearman's correlation analysis, and the results are shown in Table 3.
The significance of each coefficient and the interaction strength between each independent variable was determined by F value and p value (Table 3).
First, we assessed the relationship between each independent variable against the dependent variable at the bivariate level, and we chose only the significant predictors for multivariate analyses to increase statistical power with our relatively small sample.
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Logistic regression analysis was performed to measure the association between outcome and each independent variable.
The associations between awareness and each independent variable were estimated by odds ratio (OR) and 95% confidence interval (CI).
By focusing on the relationship between changes in each independent variable and profitability over time, the fixed effects specification provides a more robust indicator of relationships between dependent and independent variables than does Ordinary Least Squares (OLS).
To establish the association between happiness and each independent variable, first of all we conducted univariate binary logistic regression analysis with happiness as the dependent variable and each variable as the independent one.
Interaction terms between pairs of each independent variable and patients/controls (tested one pair at a time) revealed a significantly stronger effect of old age on changes of physical health (PCS) among patients with hip fracture than among controls.
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