“highly significant”

Thus, both lubricant and counterface roughness had a highly significant effect ( p < 0.0001, two-way ANOVA) on wear, and the effect of counterface roughness depended on the lubricant ( p < 0.0001, interaction term) ( Figure 2 ).

Specifically, the common effect model yielded a MD of 2.0580, with a 95% CI of [1.6161; 2.4998], and a highly significant p-value of < 0.0001.

Due to the large number of variables, non-parametric tests were consistently used and a statement regarding statistical significance was only made in the case of highly significant p-values ( p ≤ 0.0001).

Results Our analysis revealed five main findings First, there was a single, highly significant, mode of genome-connectome covariation (correlation between genetic and connectomic canonical scores: r = 0.74, permutation test: p<10 -4 corrected for multiple comparisons across all modes estimated).

Two-way ANOVA Sidak’s multiple comparisons test was used to compare the mean of three values obtained from three independent conditions, using GraphPad Prism version 7 (GraphPad Software, La Jolla, California, U.S.); * p < 0.05 indicates a significant result; ** p < 0.01 a very significant result, *** p < 0.001 a highly significant result; and **** p < 0.0001 an extremely significant result. 3.

Performance status by ECOG score was strongly associated with survival: patients with ECOG 0 had an MST of 22.5 months (95% CI, 12.1–32.9), ECOG 1 patients 13.3 months (95% CI, 10.4–16.3), and those with ECOG 2 had a markedly shorter MST of 3.3 months (95% CI, 2.8–3.8), with highly significant differences ( p = 0.0001) ( Figure 2 D).

We assessed the extent of increased gene expression from invasive, metastatic, or EMT signatures but failed to see any highly significant correlation (p < 0.0001).

In many tissues the PHI test for recombination was highly significant ( p <0.0001).

Highly significant differences were observed in the detection rates for viral infection by year ( P < 0.0001) (Table 1 ).

In lung adenocarcinoma, many genes such as MKI67 , ANLN, NDC80 , and EXO1 showed highly significant correlations ( P < .0001 or better) with up to 15 other PAM50 genes, suggesting that these genes are concordantly expressed (data not shown).

The increase in nuclear AR-V7 expression between HSPC and after AA or EZ treatment was highly significant ( p < 0.0001), as was the increase in nuclear AR-V7 between pre and post AA or EZ ( p = 0.007) treatment biopsies.

The difference between group I (wt/wt, R/Q211) and group II (I/M142, Q/K222) was highly significant ( p < 0.0001).

Survival analysis across all counties showed a highly significant difference in mortality between exposed and unexposed (control) individuals (HR ≈ 0, P < 0.0001), confirming the impact of permethrin exposure across both species.

These effects were highly significant after adjustment for multiple comparisons (p<0.0001, Table S2 ).

ANOVAs revealed a highly significant variation among these groups in both these traits (F 3, 109 = 38.4, P < 0.0001 and F 3, 107 = 28.9, P < 0.0001, respectively).

At 40 weeks, the difference was highly significant between the HC and CC ( X 2 = 24.50, X 2 = 9.54; P values < .0001).

In Plastibell technique, there was significant penile edema 40 (10.6%) and proximal migration of the ring 19 (5%) and this variation was statistically highly significant ( P < 0.0001).

There is a highly significant correlation between price volatility of the resource r in the EU, σ EU r , and TradeRisk (ρ = 0.71, P < 10 −4 ) (see Fig. 2A ).

Moreover, they showed a highly significant (P <.0001) association of sHLA-G with pregnancy outcome with live births, and the level of sHLA-G in E-SMs is a significant (P <.001) predictor of pregnancy outcomes ( 112 ).

Moreover, the results of ANOVA are shown in Tables S3–S6 as the evaluation of the predicted models, which revealed that the models were highly significant ( p < 0.0001 for all), indicating that the models showed a good fit with our experimental data.

To compare multiple independent groups, the Kruskal-Wallis test was used, which showed highly significant statistical differences ( p < 0.0001) for all the kinetic and morphological parameters studied.

A highly significant difference between the expression levels of the CEA(+) and both the CEA(int) and CEA(-) groups was seen ( p <0.0001).

The directional biases of the overlapping genes between VSH/NVS and FOR/NUR phenotype were also highly significant (X 2 = 27.52, p < 0.0001 - Table 3 ),with a larger proportion of genes over-expressed in VSH being also over-expressed in nurse antennae, and vice versa .

Statistically, there is a highly significant difference in the prevalence of bla KPC and bla GES genes among tested strains ( p < 0.0001). 16S rRNA Gene Sequencing and Phylogenetic Analysis Thirteen isolates were identified with 16S rRNA sequencing.

This assay demonstrated a highly significant reduction ( p < 0.0001) in gene expression for both IL-6R (~ 70%) and TGFβ2 (~ 86%) upon respective binding of miR-125b-5p and miR-145a-5p.