“highly significant”

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).

Females had significantly longer forearms (mean = 61.8 mm) than males (mean = 58.5 mm), with non-overlapping 95% confidence intervals and a highly significant t-test result (t = −12.68, p < 2 × 10 − 16).

The global TE family effect was found to be highly significant ( P < 2 × 10 −16 ).

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).

Specifically, adjusting for African ancestry in a multiple regression model largely eliminated the highly significant effect of Black ethnicity on serum creatinine levels (decreased from P<2x10 -16 to a marginally significant P=0.05) whilst the highly significant effect of African ancestry on creatinine remained essentially unchanged when adjusted for Black ethnicity (P<2x10 -16 before and after adjustment).

The analysis of variance showed a highly significant effect of genotypes ( p < 2 × 10 −16 ) (Table S4 ).

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

For males both age and puberty score were highly significant in predicting height at age 11 (r 2 = .17, p<2e −16 ) and 14 (r 2 = .23, p<2e −16 ).

The two factors were therefore stimulus contrast (0–64%), which produced a highly significant effect, F (6, 1287) = 171.83, p < 2 × 10 −16 , equivalent d = 1.78, and mask contrast (0 and 32%) which produced a smaller effect, F (1, 1287) = 12.89, p < .0004, equivalent d = 0.19.

For these comparisons, the two-sample proportion test is highly significant, p-value < 2 × 10 −16 ; Supplementary Table S2 .

An analysis using Pearson's correlation coefficient indicates a highly significant linear relationship between bioactivities measured against human and rat targets (r = 0.71, p<2e-16).

Result After controlling for baseline age, sex, education, APOE ε4 dosage, and self‐reported race, IFI44L genotype strongly associated with clinical trajectories in clinically normal (CN) individuals and those with mild cognitive impairment (MCI) in the ADNI cohort, with the rs273259 alternate (G) allele displaying a highly significant, dose‐dependent relationship with worse clinical trajectories (for CDR‐SB, in CN, p < 2 x 10 ‐16 ; in MCI, p = 1.1 x 10 ‐6 ; Figure 1A‐B).

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

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

found that incorporating more than 2000 PRSs to predict coronary artery disease, the increase in AUC ranged from 0.003 to 0.023 compared to a model without MPS, and the p-value for the increase in AUC were all highly significant ( p < 2e-16) 19 .

The molecular essence of all samples was consistent between measurements on the solariX and scimaX systems, with ANOVA revealing highly significant differences among sample groups ( p < 2 × 10 –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.

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).

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).

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).

Additionally, no effect of larvae stage was observed for NCR whereas the other factors were highly significant ( p value <2.10 −16 and 1.39.10 −8 for Paraquat concentration and NAC, respectively).

This difference is highly significant ( Figure 2A , Figure 2—figure supplement 1 , p-value<2.10 −16 ).

A paired t-test confirms that this difference is evidently highly significant (p-value<2.10 -16 ).

The haplotype (rs2004640T–rs2280714T) involved in both the alternative splice donor site and the elevated expression of IRF5 also had a highly significant association with SLE (pooled, P = 2.11 × 10 -16 ).