“highly significant”

Employment status was highly significant (p < 0.0001), with unemployed individuals more likely to experience pain (63.1%) than those employed (42.7%).

Analysis of variance (ANOVA) indicated that the selected factorial model was highly significant ( p < 0.0001).

We also found the level of closest designated trauma hospital was a highly significant predictor of bypass (p<0.0001) with patients less likely to be taken to the closest hospital if it was classified as regional (OR: 0.16) and rural regional (OR 0.09) compared to hospitals classified as major trauma.

All fitted models were highly significant ( p < 0.0001), with R 2 ranging from 0.72 to 0.99.

Paired t -tests confirmed a highly significant reduction in motor scores ( t = 6.19, p < 0.0001; mean change –26.3 points, 95% confidence intervals (CI) –34.7 to –18.0).

Despite highly significant differences ( P < 0.0001) were noted for each property of fragments generated by two different fragmentation tools, the properties of MacFrag fragments are distributed in lower regions.

According to Chi-squared tests in Table 2 and Table 3 , the preference patterns for male and female doctors were all highly significant difference from an equal choice among the various dress styles (p-value<0.0001).

The genetic indices based solely on the frequency of the allele MGE7 243 and on the homozygous genotype MGE7 243/243 were strongly associated minSAL, and the models were statistically highly significant ( p < .0001).

In contrast to the first model, direct transfer completely lost its significance in predicting outcome (OR 0.88, 95% CI 0.74–1.04, P =0.1313), whereas in this model shorter door-to-balloon time was a highly significant predictor of better survival ( P <0.0001; Table 4 ).

All of the comparisons yielded highly significant ( P < 10 −4 ) differences, with MutExMatSorting-arranged BMs showing significantly larger scores than MEMo-arranged BMs.

Due to the lower BMI observed in the insulin-sensitive subjects, REE was adjusted for the Kg of free fat mass and the difference between groups remained highly significant (32.2±4.5, 30.3±3.7 and 28.9±3.3 Kcal/kg of free fat mass/day in T2DM, insulin-resistant and insulin-sensitive patients, respectively; P<0.0001) ( Figure 2 left panel).

Moreover, the results of ANOVA are shown in Tables S3–S6 as the evaluation of the predicted models, which revealed that the models were highly significant ( p < 0.0001 for all), indicating that the models showed a good fit with our experimental data.

These results correlate with the analysis of variance (ANOVA), which revealed highly significant effects for both inoculum dose ( p < 0.0001) and incubation time ( p = 0.0003), with the former being the most determinant factor (F = 310.66).

However, the difference in FF was statistically highly significant ( p <0.0001) even on multivariate analysis adjusted for BMI and PAPP-A levels, indicating that ART was almost certainly an independent predictor of low FF.

A highly significant interaction between treatments and the cut number was noted (P < 0.0001).

The ANOVA results ( Table 1 ) suggest that the model was highly significant with a high F value (F model = 62.16) and a very low probability p -value ( p < 0.0001) [ 21 ].

While the correlation between the parameter estimates was highly significant, it was very weak due to the disparity in effect magnitude (R 2 = 0.194; p < 0.0001).

The strength of the relationship, measured using the Spearman correlation coefficient, was highly significant ( p < 0.0001) in both cases, with very high values (LU: 0.82 and UU: 0.88).

The differences among the groups were highly significant (log-rank P < .0001).

Importantly, a highly significant diagnosis*volatile effect ( P < 0.0001) strongly supported our central hypothesis that individual volatiles differ according to diagnosis.

The phenotypic correlation between inoculation and culture filtrate infiltration experiments using the same isolate was highly significant ( p < 0.0001) for both isolates 203649 and 202579 (Table 4 ).

The comparison between SEA and MEA DEGs revealed 248 downregulated and 29 upregulated genes that are shared in both diseases, showing a highly significant concordance (Fisher’s exact test, p < 0.0001; Figure 3 ).

The superiority of propolis was highly significant ( P < 0.0001; Mann-Whitney U test modified for superiority testing with a threshold 0.5 days; Figure 4 ).

The association between obese and CRC in overlapping DMRs was highly significant as suggested by Chi square test (p < 0.0001).

The formation of these highly significant, cohesive subnetworks (all P < 0.0001) indicates that the candidate targets for each disease are not randomly distributed but form core functional units within the human interactome, thereby supporting their biological relevance to the respective pathophysiology.