A highly significant association was found between PA1-6 and PA-pre ( p = 0.001).
← all phrases
“highly significant”
Sighted at
p=0.09
In the literature
The percentage rise in cuff pressure every 10 minutes was also highly significant ( P < 0.001) being maximum in first 10 min in group N.
The pronounced NAA decrease in the tumor was responsible for the highly significant difference between tumor and control for both groups (p<0.001). b.
The model exhibits a highly significant correlation coefficient of 0.98 (p < 0.001) with a 95% confidence interval of 0.97–0.99, indicating that the predicted line captures DF cases well, with a low dispersion index (7.2).
Component 2 displayed a biologically plausible HDR, and a highly significant main effects Time, F (19, 874) = 84.31, P < .001, η p 2 = .65, clearly meeting the requirement of temporal validity.
These changes represented large effect sizes (Cohen's d = 3.43 and 3.36), and both differences were highly significant ( P < .001).
6 , we can conclude the following: There was a moderate negative correlation between the percentage of opened dentinal tubules and the weight% of F Wt % in groups SDF, SDF diode 1 W, SDF Nd 3 s, and SDF Nd 5 s, and these correlations were statistically significant (P-value < 0.05) in SDF and SDF diode 1 W and highly significant in SDF Nd 3 s and SDF Nd 5 s (P-value < 0.001).
Prothrombin time was 15.69 ± 1.76 seconds in group A as compared to 14.37 ± 1.7 seconds in group B, which was highly significant ( P > 0.001).
The differences were highly significant for non-migrated cells as well as for PMN after random migration and stimulation with fMLP (all p < 0.001, see Table 1 ).
LPS stimulation as well as incubation with lambda-carrageenan resulted in highly significant induction of TNF-α transcription compared to unstimulated control (p < 0.001 for LPS stimulation and lambda-carrageenan).
A highly significant regression model ( p < 0.001, R 2 = 0.975) was obtained: D = 0.239 × L.
Statistical significance difference tests with three levels of significance set: p < 0.05 for significant, p < 0.01 for highly significant, and p < 0.001 for extremely significant. 3.
A repeated-measures ANOVA on mean reaction times with context (interleaved, blocked) and target location (left, right) as within-subject factors revealed a highly significant main effect of context ( F (1,17) = 248.257, p <.001), no effect of target location ( F (1,17) = 0.197, p = .663), and no interaction ( F (1,17) = 0.007, p = .933).
Application type also showed a statistically significant effect ( p = 0.010), and measurement time had a highly significant influence ( p < 0.001).
The analysis revealed a highly significant improvement ( p < 0.001), with a mean reduction of 32.8 s and a 95% confidence interval (CI) of [29.0, 36.6] s.
As expected, Step was highly significant ( β = −2.291, SE = 0.2, z = −11.484, p < 0.001), reflecting our auditory stimulus manipulation.
Within-group changes from baseline to 12 months were highly significant for both subgroups (Wilcoxon P < 0.001 for each).
When regressing SPEAR status on all four SPEAR criteria, all four criteria were highly significant ( p < 0.001) with odds ratios of 3.33 (CI [2.63, 4.55]) for DAS28 (CRP) ≥ 3.2, 2.33 (2.17, 2.5) for ACPA + , 2.17 (2.04, 2.38) for RF + , and 1.19 (1.16, 1.22) for disease duration < 1 year, where odds ratios > 1 indicate higher odds for SPEAR (vs. non-SPEAR).
An alternative analysis using Poisson regression showed a highly significant ( p < 0.001) linear mortality decline over the full period 1998–2007.
The KMO test yielded a value of 0.920, indicating outstanding sampling adequacy, while Bartlett's test of sphericity was highly significant ( p < 0.001), affirming that the correlation matrix was suitable for factor analysis.
The results of the one-way ANOVA revealed highly significant differences among species for all measured variables ( Table 5 ; p < 0.001).
In addition, it is noteworthy that there was a highly significant inverse correlation was present between GSH + CysGly and HCySSP ( p < 0.001). 3.2 In Vitro Experimental Model of Oxidative Stress in Blood Based on the data presented in Table 3 , two main observations can be made: (i) there is no apparent correlation between total homocysteine (tHcy) levels and oxidative stress markers; and (ii) there is an inverse correlation between glutathione and tHcy.
Significance thresholds were defined as follows: p < 0.05 (significant, *), p < 0.01 (highly significant, **), and p < 0.001 (extremely significant, ***).
Statistical analysis via paired t -tests with Bonferroni correction confirms that these improvements are highly significant ( p < 0.001), with a large effect size of Cohen’s d = 1.42 for the MAE metric.
Moreover, the direct effects of plant community diversity on soil nutrients were positive among four types of plant community grasslands (path coefficient = 0.17, 0.23, 0.48 and 0.71 resp., Figures 4I–L ), in which the effect was highly significant (P values ≤ 0.001, Figure 4L ) in the KM and marginal in EG ( Figure 4I ).