Barely Significant

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bordered on significancep = 0.010.2× alpha
In other datasets, all other comparisons with the first in-vivo pipeline showed differences that were significant, or bordered on significance (HCP-M in-vivo repeat, p = 0.01; HCP-M synthetic, p = 0.06; Hospital synthetic, p = 0.08), but these median differences (0.33%, 0.24%, and 0.78% respectively) were again well below inter-group and longitudinal differences of clinical or scientific significance [E.g. 4 , 48 ]. 4.3 Comparison of Freesurfer labels Table 4 shows generalised Dice similarity coefficients for 70 cortical grey matter labels, or 16 deep grey-matter labels.
highly significantp < 0.010.2× alphaqualifiedgold
Whether or not visual feedback of the system was available, the effect of haptic feedback was highly significant on both the success and failure rates (p < 0.01), indicating the importance of artificial sensations of touch to successfully perform the complex simultaneous control task.
highly significantp < 0.010.2× alphaqualifiedgold
Despite having the largest effective population size ( N e = 175 and 157, respectively), the fish sampled from UN and LN showed the highest inbreeding coefficients ( F IS = 0.056–0.053, respectively), which were highly significant ( p < 0.01).
highly significantp < 0.010.2× alphaqualifiedgold
Torres-González et al., in a study on Colombian lemon biscuits, described a positive and highly significant correlations ( p < 0.01) between fracturability and firmness ( r = 0.973), consistency ( r = 0.933) and maximum strength (hardness) ( r = 1), with a moderate correlation ( p < 0.05) between fracturability and stiffness ( r = 0.405) [ 46 ]. 3.1.5.
highly significantp ≤ 0.010.2× alphaqualifiedgold
The model was found to be highly significant ( p ≤ 0.01) and the lack of fit was non-significant ( p > 0.05), with all the independent variables significantly contributing to the FT .
highly significantp ≤ 0.010.2× alphaqualifiedgold
Statistical differences were designated as significant if p -values were less than 0.05 ( # p ≤ 0.05), and highly significant if p -values were less than 0.01 ( ## p ≤ 0.01), less than 0.001 ( ### p ≤ 0.001) and less than 0.0001 ( #### p ≤ 0.0001).
highly significantp<0.010.2× alphaqualifiedgold
We used a step-wise procedure for the selection of eigenshapes, so that only those eigenshapes that were highly significant in discriminating groups were selected in an iterative manner to be included in the analysis (p<0.01 for F-value of variable to be entered, p< 0.10 for F-value of a variable to be removed).