Results from numerical model analyses demonstrate considerable accuracy and good agreement with those directly measured from experimental perforated tubular member's samples in terms of axial load-displacement and strains.
The FSCR additivity model analyses demonstrate cumulative effects of low doses of the mixture and synergistic cumulative effects of the highest dosages of the mixture.
Using an a priori model, regression analyses demonstrated that four variables predicted the primary balance measure (SOT composite score): visual spatial memory (P = 0.005), verbal memory (P = 0.000), FIQR score (P < 0.001) and BMI (P = 0.036).
The results of the empty model multilevel analyses demonstrate the impact of PHC affiliation on three out of four items (item 1, 2 and 4).
More so, by using voxel-based correlation and a dynamic causal model analyses we demonstrated that increased amygdala activation to negative music with eyes closed led to increased activations in the LC and VPFC.
Results were robust to changes in key parameters; both scenario analyses modeling different health status transition probabilities, drug doses, and episode management breakdown, and sensitivity analyses demonstrated model reliability, being these scenario cases results comparable to base case analysis.
Results were robust to changes in key parameters; both scenario analyses and sensitivity analyses demonstrated model reliability.
In the Cox proportional hazard regression model (Table 2), univariate analyses demonstrated that YWHAZ protein expression, age, location, tumour size, venous invasion, lymphatic invasion, pT category, pN category, and the stage of TNM classification were significantly associated with cause-specific survival.
Sensitivity analyses demonstrated that the model was robust to reasonable variations in model parameters and assumptions.
Confirmatory factor analyses demonstrated a good model fit for each dimension and the entire construct.
