For each subject, the relation between θ and ω coinciding with the TIV data points was established using linear regression, and used with the Tθ relation to predict the isometric torque capability corresponding to each TIV value.
Correlations between all the co-variables were calculated, and univariate associations between stiffness and co-variables was established using linear regression.
Including all measurements, correlations between data pairs were established using linear regression analysis and are expressed as the square of Pearson's correlation coefficients (r).
Including all consecutive hemodynamic measurements per patient, correlations between data pairs were established using linear regression analysis and are expressed as the square of Pearson's correlation coefficients (r).
Correlations of the BMD percentage change or the paw swelling percentage change versus serum concentrations of RANKL, TNFα or IL-1β were established using linear regression analysis (GraphPad Prism software, GraphPad Software, Inc., La Jolla, CA, USA).
Two kinetic laws namely parallel as well as inverse models have been derived at atmospheric pressure, and power law type kinetics have been established using non-linear least squares optimization.
Calibration models of milk powder moisture content are established using the linear least squares method.
Significance of correlations between selected variables was established using a linear model GenStat analysis of correlation at 5%% level.
Following the works of Dvorkin and Gutierrez (2002), the relationship between ϕ and model-based C was established using two linear equations.
Through this effective and integrated four-step method, a feasible and reliable HPLC fingerprint to identify and assess the Ginkgo biloba quality can easily be established using a linear gradient elution with acetonitrile/0.1% phosphoric acid (from 14/86 to 30/70, v/v, in 40 min) as mobile phase, a column temperature of 30 °C and a detection wavelength of 350 nm.
