“highly significant”

Although, the correlation was highly significant ( p < 2e-16), the R2 of only 0.57 shows a low predictive power.

This leads to a highly significant coefficient ( β ˆ = 4.68 ; p<2e-16).

The genotype×broomrape race interaction was highly significant for TotAD ( F =3.17, P =2e-16), HeaAD ( F =2.96, P =2e-16), and NecAD ( F =3.63, P <2e-16) ( Supplementary Table S3 ).

Interestingly, in all tumors FOXP3 expression is highly significant, positively associated to GZMB expression levels ( p -value = 2.0E-16) Adaptive immune response strongly depends on the B cell response.

Thus, it is not surprising that the separation of nationalities due to the co‐dispersion along these two axes is highly significant (MANOVA: P < 2e–16).

The intercept had an estimated coefficient of 0.8443, which is highly significant (p < 2e-16), indicating a strong positive relationship between the dependent variable and the constant term.

Distance to the sea is also highly significant (R 2 = 0.47, p <2e -16 for Tajima’s D).

Indeed, the fit of all points rather than of the medians were poor although the (anti-)correlation was highly significant (R 2 = 0.01, p < 2e −16 in both cases).

We found 1341 of 4404 that passed QC in our own study (30.4%) were nominally associated with ethnicity (p<0.05), which represented a highly significant (p<2×10 −16 ) enrichment.

Notably, despite the absence of a significant indirect effect through AIP, TG exhibited a highly significant total effect on gout, driven by a strong direct effect independent of the AIP pathway (ADE = 0.1013, p < 2 × 10 −16 ) (Fig. 2 G, H, I, J) (File S1 : Table S13 – S17 ).

This shift is highly significant compared with either the simulated random distribution ( p = 2 × 10 −16 ) or the distribution from the glucose-grown cells ( p = 2 × 10 −11 ; Wilcoxon rank sum test).

One interesting example is glycan 5402, which had a small positive correlation (PPMCC 0.28) with A1AT’s serum concentration when present at site A1AT site 70 ( P = 0.006) but had a strong highly significant negative correlation (PPMCC -0.81) with the serum concentration of A1AT when present at A1AT site 271 ( P < 2E−16) (Fig. 2 F).

The enrichment of TEs at species-specific binding sites were highly significant both with a chi-square test (Hs χ 2 = 142.8, Mm χ 2 = 131.4, both p < 2e −16 ) and with permutation tests (n = 10,000, p < 1e −5 ) ( Fig 5A ).

The effect of mammalian molecular evolutionary rate was highly significant ( p < 2 × 10 −16 , Table 1 ).

The association between miR-100 and EMT markers was further validated in human tumors: from the Cancer Genome Atlas (TCGA) breast cancer data [17] , we observed a moderate but significant inverse correlation between miR-100 and E-cadherin expression levels ( Rs = −0.1, P = 0.006, Figure 1F ) and a highly significant positive correlation between miR-100 and vimentin expression levels ( Rs = 0.43, P <2×10 −16 , Figure 1G ). miR-100 suppresses tumor growth and is downregulated in human breast cancer We performed TCGA data analysis to determine the expression levels of miR-100 and miR-22 in human breast cancer.

Cross-treatment comparison of the within-participant changes revealed a highly significant reduction in absolute Framingham risk favoring torcetrapib plus atorvastatin over atorvastatin alone (−1.5%; P =2e−16).

As for senior authorship, the difference between men and women was highly significant in both the 1999 (166 vs. 47, p = 2e-16), and in the 2009 cohort (188 vs. 115, p = 3e-5), but inspection of the absolute difference reveals that this difference is diminishing.

Effects of genotypes on pre-harvest aflatoxin contamination of maize Aflatoxin contamination was highly significant among maize genotypes (p < 2e-16) ( Table 15 ), with A2207–4 having the lowest level (1.33 μg/kg) and YANGA-5–2 the highest (7.65 μg/kg), as shown in Table 16 .

Highly significant associations (log-rank test, P < 2 × 10 –16 ) for all three variables were observed, in the whole series and in the two subsets (Fig. 1 ).

The analysis of variance (ANOVA) results (Supplementary Data 1 –Table B 3 ) showed a highly significant effect of landmarks on measurement variance ( p -value < 2 × 10 −16 ); however, no significant effect of the operator ( p -value = 1.00) or the interaction between landmark and operator was observed ( p -value = 0.968).

Our results also showed that nemolizumab significantly normalized the transcriptional profiles of PN lesional skin, especially in differentiated keratinocytes, fibroblasts, and follicle cells, with highly significant changes ( P < 2 × 10 −16 ).

We obtained a highly significant interaction effect between hosts and isolates nested within each population for virulence (degrees of freedom = 1,540, F = 2.11, p < 2e −16 ) and reproduction (degrees of freedom = 1,540, F = 2.68, p < 2e −16 ).

We repeated linear regression analyses for the top significant CpGs in RUNX1 (cg12477880) and FLI1 (cg17239923), genes that are known regulators of hematopoiesis, adjusting for deconvoluted blood cell proportions instead of ReFACTor components (see “Methods”), and the associations with DS remained highly significant (both P < 2.0 × 10 −16 ).

The Fligner–Killeen test of homogeneity of variances is also highly significant ( p < 2 × 10 −16 ) between ht-UtLM6 and CR-LM6.

The microbial alpha diversity was significantly increased in gastric tumor compared with non-tumor tissues in three datasets P1, P3, and P4, with the exception of P2 which showed an opposite trend ( Figure S3A ), while the remaining datasets showed non-significant differences, resulting in a highly significant global Analysis of Variance (ANOVA; F -statistics: P < 2E−16) but a non-significant overall pairwise comparison ( P = 0.19).