The expression coefficients can be subjected to statistical tests, e.g. unpaired t-tests revealing significant mean contrasts between groups of subjects or conditions ("subject-condition expression coefficients"), or tests of regression or correlation with behavioral measures.
The results of contrast sensitivity measurements show that there is a significant difference in the mean contrast sensitivity between group of patients after optic neuritis in multiple sclerosis and healthy subjects (Table 1).
On quantitative analysis, the mean contrast ratio between nerve and adjacent muscle in the subgroup of four patients with dPNP exhibiting intraneural T2 lesions by visual evaluation was significantly higher (4.2 ± 0.9) when tested against 10 nondiabetic control subjects (1.9 ± 0.2, P = 0.003) or 15 diabetic control subjects without dPNP (2.1 ± 0.3, P = 0.004).
According to Weber's law, the difference in contrast between the two squares that is just detectable is proportional to the mean contrast of the squares.
Pearson's product-moment correlations were obtained between mean contrast values of all ROIs and onset age of late-onset blind participants and scores on the adapted matrix test for the late-onset blind participants, respectively.
Comparisons between the mean contrast threshold for each truncated quadrant against visual field loss were undertaken by linear regression analysis after quantifying the visual field loss from the patient's Friedmann visual field chart [ 31].
As for the correlations with the visuospatial working memory, we found significant correlations between the mean contrast values in the left SFG and performance on the 2D (r = 0.585, P = 0.022) and 3D matrix tests (r = 0.562, P = 0.029) among the late-onset blind participants.
None of the datasets had significant differences between the MLE contrasts or geometric mean contrasts (Additional File 1).
The factors are correlation between the hydraulic conductivities of the different materials and the contrast between mean conductivities in the different materials.
Our key finding is that simulated flow is much more sensitive to the contrast between mean conductivities of the blocks than it is to the intensity of correlation, although both factors are statistically significant.
To contrast between mean values the Tukey-Kramer test was used.
