Sentence examples for subject linear from inspiring English sources

To analyse how pre-stimulus irregularity influences phase-coherent responses to the first tone, for each subject, linear fits across the four lITC estimates were performed per electrode, time-point and frequency as described above for average oscillatory power.

To analyze the evolution of VA and account for repeated measurements over time for each subject, linear mixed-effects models with random intercepts and random slopes were estimated.

The relationship between HR and each of the potentially explanatory variables was assessed using individual (i.e., by subject) linear regressions and presented by dose level.

The basic model included a dummy for each subject; linear terms for time trend, temperature (lag 3), and relative humidity (lag 3); and a penalized spline (df = 3) for change in heart rate during the exercise test.

Finally, correcting pasta intake by the body weight of the subjects, linear regression analysis showed a negative significant association of BMI with pasta-body weight residuals in both genders and in multi-adjusted models (β-coef=−0.18, P=0.01 in women and β-coef=−0.30, P<0.001 in men), (Table 2).

The cyclic structures were obtained by subjecting linear triple-helical molecules of (1→3 -β-d-glucans to a denaturation–renaturation cycle, and the fraction of cyclic structures in the renatured sample was determined by AFM.

We describe the discovery of a novel approach to prepare LCB PP by subjecting linear PP to solid-state shear pulverization (SSSP) with benzoyl peroxide (BPO) as the lone additive.

Bland-Altman plots and within-subject linear regression were used for statistical analysis [2].

The average within-subject linear correlation coefficients (r2) between change in average spectral power and change in venous admixture and static compliance from their baseline values were 0.76 ± 0.16 and 0.60 ± 0.23, respectively.

Intra-subject linear alignment and registration to a common standard template [25] was achieved by a step-wise affine procedure with six degrees of freedom.

Within-subject linear regressions were performed using Stata 10.0.