Excerpts

The difference in the number of genes identified by KC-RBM and the second-best method, NGM, is highly significant ( P < 10 −5 , based on a permutation approach).

Although both effect sizes of PM 2.5 and PM 10 in the fully adjusted models were small (β-value of PM 2.5 = − 0.032; β-value of PM 10 = − 0.039, respectively), they were highly significant ( P -value < 0.00001).

All correlation coefficients between these two datasets were above 0.99 (Pearson’s r ) and highly significant with p < 1e-5.

The analysis identified 21–34 highly significant SNPs (− log 10 P > 5), with an estimated total heritability of 37.31–62.34%, while large contributions to variations was due to dominance, dominance-related epistasis, and environmental interaction effects ( h D + 2 = ^ 14.06% ~ 49.28%), indicating these factors contributed significantly to phenotypic variations of the ear traits.

The test for overall effect was highly significant (Z = 4.52, P < 0.00001), with moderate heterogeneity observed across the trials (I 2 = 58%).

To confirm that the reported effects are not isolated and support the structure of the comparisons shown, we ran Friedman tests as non‐parametric omnibus tests which yielded highly significant results (alpha band, p < 0.00001 , χ 2 = 115.93 , Kendall's W = 0.68 ; gamma band p < 0.00001 , χ 2 = 120.6 , Kendall's W = 0.7 ).

Hence, we detected a highly significant ( P < 0.00001, Fisher's exact test) correlation between trees homozygous for the acro ‐SNP and the early cone‐setting phenotype.

This was highly significant ( p < 0.00001) ( Table 2 ).

Also, the presence of two or more risk factors resulted in a highly significant elevation of risk for severe vomiting (OR 15.97; 5.12–49.87; p < 0.00001) (The second table in Section 2.7 ).

A highly significant correlation (R 2 = 0.9021, p value < 10E-6) was calculated between the two techniques (Figure 7 ).

The ICI and WI showed a strong and highly significant correlation (r = 0.53141, p < 0.00001).

A Monte Carlo simulation determined that this is a highly significant overlap (p<1 × 10 −5 ) and peak heights at shared ATAC and CATaDa peaks show significant correlation (p<1 × 10- 16 , r 2 = 0.138) ( Figure 2—figure supplement 2A ).

Logistic regression testing the effect of sequence length on whether or not the query sequence have at least one BlastX hit ( E value 10 -5 ) was highly significant (p-value < 0.00001).

In a meta‐analysis of six studies of CRT, the 95% CIs for the improvement in peak VO 2 with CRT went from 0.32 to 3.22 mL/kg/min, with borderline significance, P = 0.017, 35 compared with the narrower CI, and more highly significant effect seen here: 95% CIs for the improvement in peak VO 2 with CCM between 0.56 and 1.30 mL/kg/min, P < 0.00001, giving a considerably more precise estimate of efficacy and of increased statistical significance.

A correlation matrix was calculated for these genes, using Pearson Product-Moment Coefficient, defined as r x , y = ∑ i = 1 n ( x i − x ̄ ) ( y i − y ̄ ) ( n − 1 ) δ x δ y The values of Pearson correlations above 0.3 are statistically highly significant (p-value < 0.00001 after Bonferroni correction for multiple testing [ 85 ]).

The pairwise Pearson's correlations of SLB AUDPC BLUPs were highly significant between all pairs of environments, ranging from 0.62 to 0.95 with P < 0.00001 (Table 1 ).

The pooled HR remained highly significant (HR = 0.56, 95% CI 0.45–0.70; P < 0.00001) ( Supplementary Figure 1A ). 3.3.2.

The changes in the right prefrontal Oxy‐Hb had a highly significant positive correlation with the changes in the left prefrontal Oxy‐Hb ( γ = 0.995, P < 0.00001).

In exploring the subgroup for tensile strength ( Table 4 ) there was a highly significant difference ( P < 0.00001) when nano filler was added to the material, however there was no significant difference when micro fillers were added ( P = 0.74). 3.1.2.

Interestingly, investigation of intragenic relationships between VastDB AS events reveals that pairs of cassette exons (especially in the case of neighboring exons) and pairs of retained introns within the same gene show highly significant correlation of inclusion or retention levels across samples from each species ( P < 10 −5 , Wilcoxon rank-sum test) ( Supplemental Fig.

By 8-week end, there was a highly significant decrease in the in EE (p<0.00001) and DP (p<0.0003), with highly significant increase in the PA (p<0.00001) MBI subscales compared to baseline.

Only electrodes with a highly significant correlation relative to the null were retained ( P < 10 −5 ).

The strength of this dependence between the aCVT and aCrVT is demonstrated by highly significant p-values using a Fisher’s Exact Test of Independence (left p = 0.00001 and right p = 0.00018).

Assessment of aCL Presence by Meta-Analysis Presence of aCL in dementia patients was highly significant compared to controls (OR: 4.94, 95% CI: 2.66–9.16, p < 0.00001; I 2 = 32%, p = 0.16) ( Figure 2 ). aCL was present in 32.80% of dementia patients and 9.50% in controls corresponding to 3.45 times higher probability to present with dementia than controls.

Also, the random effect of study was highly significant for the half‐life analysis ( p < 0.00001), but there was no significant random effect of study for the percent recalcitrance model ( p = 1).