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To adjust for the gender difference between patients and healthy controls (Table 1), multiple logistic regression analyses were employed.
Both qualitative and quantitative analyses were employed.
Chromatographic analyses were employed for bioactive compounds identification and quantification.
Statistical and graphical error analyses were employed to evaluate the performance and accuracy of the model.
Numerical construction and thermal analyses were employed using a Computational Fluid Dynamics (CFD) technique.
For data analyses, a series of hierarchical moderated regression analyses were employed.
Linear, geometric and material nonlinear analyses were employed to investigate the causes of collapse.
Statistical analyses were employed to investigate the direct and interactive effects of variables on curdlan production.
Linear and nonlinear regression analyses were employed between fc100 and fc150.
To identify the reaction mechanism, the ex situ XRD and HRTEM analyses were employed.
Residual stress, surface roughness and fractographic analyses were employed to rationalize the fatigue performance.
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analyses were undertaken
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