“highly significant”

This is a highly significant difference ( t test: t 18 = 7.14, P < 0.001).

Caffeine intake of 200–≤400 mg/day was associated with 58% risk reduction (OR = 0.42, 95%CI = [0.25–0.69], p<0.001), and that of 400 mg–≤600 mg/day was associated with a highly significant 80% reduction (OR = 0.20, 95%CI = [0.08–0.51], p<0.001), and >600 mg/day had also strong 79% reduction (OR = 0.21, 95%CI = [0.09–0.52], p<0.001) comparing to the lowest caffeine intake group with 0–≤200 mg/day.

TG showed a significant negative correlation with HDL-C (P < 0.01), while a highly significant positive correlation was observed with VLDL-C (P < 0.001).

The difference between the mean blood pressures of the groups in Tables V and VI was highly significant (P < 0.001).

The regression coefficient calculated for this association was highly significant by Student's t-test (P < 0.001).

The ANOVA of the quadratic regression model (Table 2 ) demonstrated that Eq. ( 1 ) is a highly significant model ( P = 0.001).

These differences were highly significant (P < 0.001) in each instance.

Regarding our main conclusion (i) that colour lightness is consistently correlated to the thermal environment, we found that all 24,000 regressions were highly significant ( t -test, P <0.001) with positive slopes throughout the models, indicating that different evolutionary models do not alter the positive relationship between colour lightness and the thermal environment ( Supplementary Fig. 7 ).

Multiple regression analysis confirmed that membership of the clinical sample remained a highly significant predictor, p < .001, when age was controlled for.

We observed a highly significant additive effect of mental demands and education on better performance in the TMT-B and VFT (p < 0.001; see Table 4 ).

In each allogenic one-way MLC there is highly significant stimulation (P < 0.001) between any two of these four strains.

We found a highly significant correlation between automatically and manually scored specimens with regard to TMEM27 (R 2 = 0.48, p <0.001), BACE2 (R 2 = 0.13, p <0.001), and insulin (R 2 = 0.59, p <0.001), respectively ( Figure 2A-C ).

Increased vascular invasion score is associated with hormone receptor negative tumors Seven of the data sets had information on ER-status [8] – [11] , [13] – [15] , and six of the sets showed significant correlations between high signature score and ER-negative tumors, five of them highly significant (p<0.001).

A highly significant ( P < 0.001; t test) perijunctional increase of 1.5–2-fold was seen for VGSCs, ankyrin G , and β-spectrin, but not for dystrophin (Fig. 9 ).

Analysis of variance using the statistical model Number of aphids = day + day × height + day × site(tree) + day × height × site(tree) + ε showed that the first order interaction of day with site was highly significant ( F 3,1504 = 27.76, P < 0.001), just as population differences among trees remained detectable after having accounted for time-dependent and site-dependent differences ( F 4,1504 = 13.92, P < 0.001).

-Construct validity The correlations between the global ratings (oral health and overall well-being) and the total scale (r= 0.245 and r= 0.286), oral symptoms subscale (r= 0.249 and r= 0.231), functional limitations subscale (r= 0.241 and r= 0.235), emotional well-being subscale (r= 0.237 and 0.198) and social well-being subscale (r= 0.260 and 0.309), were mediocre but statistically highly significant ( Table 2 ). -Discriminant validity There was a significant difference in total and subscale scores of the P-CPQ ( p <0.001) between children without dental caries experience and those with dental ca-ries experience in one or more teeth ( Table 3 ).

Association between burnout, depression and suicidal ideation in the general sample of dental students The association between burnout and a positive screen for depression was highly significant ( p < 0.001).

Importantly, a comparison between zaprinast-treated wt and PARG110 KO revealed a highly significant difference ( P <0.001; Figure 3r ), suggesting that lack of PARG110 expression and/or activity was neuroprotective.

Nevertheless, chi-square tests identify highly significant differences in the distribution of all main functional roles across timepoints (p≤0.001), except for “central intermediary metabolism” (p = 0.02) and “unclassified proteins” (p = 0.4). “Protein synthesis”, “transport and binding proteins” and “energy metabolism” predominate across all samples, with “protein synthesis” being the most abundant role in most cases and one or the other of the latter two roles being the most abundant in a small fraction of the infants' samples.

The test for trend was highly significant in both analyses (P < 0.001).

For genes where Bartlett test for equal variance found the difference between variances to be highly significant (P < 0.001) between the three folliculogenesis phases, the data was transformed using the formula Y = Log(Y *1e12), where multiplying by a large factor was meant to obtain values higher than 1, as the log of a proportion between 0 and 1 would give a negative value, and simply multiplying by -1 would not respect the original relative expressions.

There was a highly significant survival advantage for patients with a family history (chi2 = 22.4, P < 0.001).

High dose dobutamine stress revealed highly significant differences between normal segments and segments with WMA (normal: -39.3 ± 11.3%; WMA: 19.2 ± 19.1%; p < 0.001) as well as between normal and stenotic and normal and remote segments (stenotic: -23.8 ± 15.9%, p < 0.001; remote: -34.2 ± 14.1%, p < 0.001).

These differences were confirmed in multiple independent experiments and were highly significant (P < 0.001).

This result is a plausible explanation for the highly significant increase of β 3 expression in IT mice (p < 0.001).