“highly significant”

We found the effect of rurality to be highly significant ( P < 2.0 × 10 -16 ), but it explains only 28% of the overall variation in log positional error magnitude.

The statistical analysis showed a highly significant evolution of the sugar ( p < 2 × 10 −16 ) and starch ( p < 1.339 × 10 −5 ) curves in function of the reaction time.

The linear regression was highly significant ( R 2 = 0.73, P -value ≤ 2 × 10 −16 ), with a coefficient (which translates to the -gamma value) of −0.75.

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

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 ).

When the DPPH activity of the extract and ascorbic acid were compared using an additional ANOVA test, the results showed a highly significant difference ( p -value < 2 × 10 −16 ).

There was a highly significant effect of time for both sides ( p < 2e-16).

The ANOVA test revealed that the prediction of fresh weight by the finalized model was highly significant ( p < 2e-16).

This was found to be a highly significant over-representation by goseq (Bonferroni adjusted p -value < 2 × 10 –16 , see Figure 2A and Supplementary Data File 2 ).

The variation in ancestry seen in the admixture maps of Figure 1 also result in highly significant correlations of the three ancestries with altitude of birthplace (p-values <2×10 −16 for the three ancestries): African and European ancestry decreases with altitude (r of −0.24 and −0.39, respectively), while Native American ancestry increases (r = 0.48).

The intersection is statistically highly significant (p < 2 -16 ).

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).

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 .

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

As expected, the PY effect was highly significant (P < 2 × 10 −16 ), and the smoking group W5Y remained significant after correcting for PY (P = 0.008).

The inherited expanded CAG repeat length and the age at sampling were shown to have a highly significant association with the ratio of somatic CAG expansions of the disease-associated allele observed in blood DNA (p < 2 × 10 −16 ).

This difference in wing length was highly significant (t = −57.479, p < 2e-16).

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).

An analysis of ChEMBL data demonstrated a highly significant relationship between bioactivities in human and rat targets ( R = 0.71, p < 2 e - 16 ), although outliers were identified for targets such as the Histamine H 3 receptor ( Kruger and Overington, 2012 ).

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).

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.

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.

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

Results Bacterial quantification The effect of extraction methodology on the concentration of the bacterial 16S rRNA gene was highly significant (Repeated measures ANOVA, F = 61.5, P < 2 × 10 −16 ; Fig. 1 A).

Evolutionary niche shift in response to the mean salinity The mean salinity experienced during evolution had a highly significant effect on acclimated tolerance surfaces ( P < 2 × 10 –16 , likelihood‐ratio test—hereafter LRT—between models with vs. without effects of salinity mean).