“highly significant”

We observed that the A/I ratio was highly significant and associated with improved outcome (A/I ratio: HR = 0.77, P < 2x10 -16 ), while the total TIL score was associated with poorer outcome (TIL HR = 1.03, P = 0.0137).

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.

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 ).

Thus, although the number of substitutions in a partition is a highly significant ( P < 2e-16) predictor of passing or failing any of the tests, that it explains only about a quarter of the variation suggests that other factors, such as underlying differences in the extent to which partitions violate the SRH assumptions, are driving the remaining ∼75% of the variation.

Laminar quantification showed a highly significant difference in Iba1 intensity across cortical layers [ F (4,531) = 90.19, p < 2 × 10 –16 ; one-way ANOVA] with the highest intensity in L1 ( Figure 7E ; L1 vs.

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 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.

Consistent with previous research ( 34 , 35 ), the RSA model predictions closely resembled listeners’ behavior, with the regression of listeners’ actual choice frequencies against model predictions being highly significant at the group level ( r = 0.89, P < 2 × 10 −16 ; Fig. 2A ) and across listeners (logistic regression coefficient = 5.84 ± 0.17, t 40 = 34.24, P < 2 × 10 −16 ).

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 ).

General linear model showed that clinical symptoms have a highly significant effect on the number of cMBs (N = 2.78, 95%CI [2.51–3.07], p<2*10–16; ndf = 78, AIC = 1218).

Again, rs708727 was found to be a highly significant ( p < 2e−16) covariant of all probes, while rs960603 is not.

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).

This overlap is highly significant ( P < 2 × 10 −16 ).

The total effect of the overall model did not quite pass our significance threshold of alpha <0.05 (total effect, p = 0.064), but we saw a significant average direct effect (ADE) of BMF on eGFR (ADE = −4.458, p = 0.012) and a highly significant average causal mediation effect (ACME) of BMF via 3-IS on eGFR (ACME = 1.343, p < 2E−16; Figure 7 B).

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

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

Statistical analysis via disk diffusion assays revealed highly significant differences in inhibition zone diameters among microorganisms ( p < 2 × 10 −16 ).

Phrase duration of female response songs differed highly significant among the five groups of females (ANOVA F 4,71 = 52.7, p = 2 × 10 −16 ).

However, the overlap between these two very different approaches is highly significant (Fisher's exact test, p < 2 × 10 −16 ), and the functional enrichments they identify are similar (see below).

Statistical analysis using one-way ANOVA confirmed a highly significant effect of treatment on fungal growth (F(20, 42) = 56.52, p < 2 × 10 −16 ).

The first GLM, which included all values, returned a highly significant relationship between time spent in male germline and the observed substitution rates ( P < 2e-16; odd ratio 1.16, 95% CI: 1.1622–1.1626).

The effective degrees of freedom (edf) for the smoothing term were 8.918, and the corresponding F-statistic and p -value indicated that the smoothing term was highly significant ( p -value < 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.

The difference in this distribution was highly significant ( χ 2 p-value<2e-16).

Logistic regression analysis showed that the correlation between the proportion of proplatelet-forming cells and RNA and protein levels for TPM4 was highly significant ( P < 2 –16 and < 6.23 –12 , respectively) ( Figure 8A ), demonstrating that the level of TPM4 is rate-limiting for platelet formation.