“highly significant”

All vaccinated groups showed 0% mortality when challenged, which was highly significant compared to the non-vaccinated controls (40 and 28% mortality eight and twenty-six weeks post vaccination (wpv), respectively) (P<0.0001).

Second-order polynomial models fitted to both responses were highly significant ( p < 0.0001) with non-significant lack-of-fit terms; R 2 values of 0.9764 and 0.9865 confirmed adequate model fit ( Table S5 ).

A one-way ANOVA of the number of tRNA genes against genome size was highly significant (F=774.9, P <0.0001, DF=1198; Fig. 1 ).

A Kruskal-Wallis test indicated that the difference in NPRA expression among the seven diagnostic groups was highly significant (p < 0.0001).

The density ratio between the right and left auditory cortex was 5.8 and this was highly significant [ t (26) = 15.85; P < 0.0001].

There were highly significant correlations ( r = 0.89, p < 10 –4 in Paris) and good intraclass correlation coefficients ( R = 0.89 in Paris) between the two series of values.

LVEF ≤ 0.45 was the single independent and highly significant predictor of early CHF among other clinical and echocardiographic variables (odds ratio 17.0; [95% CI 4.1 - 70.8]; p < 0.0001).

One-way ANOVA revealed a highly significant effect of the nanohybrid loading on TPC (F(3,8) = 784.5, p < 0.0001).

There was a highly significant media*volatile interaction ( p < 0.0001) for the raw responses reflective of compounds that not only differ in media solubility but also differences in response factors arising from electron impact mass spectrometry.

When animals that received nerve injury or pharmacological block were pooled together (one-way ANOVA; F(3,60) = 7.3, p = 0.0003) the increased responsiveness reached significance already in the first protocol after deafferentation (Dunnett test; p = 0.0289), transiently lost significance in the second protocol (p = 0.12) and was again highly significant in the third protocol (p<0.0001).

In the statistical analysis of the number of survivors, a highly significant effect was found (Omnibus test: likelihood ratio chi-squared test = 112.414, d.f. = 1, p < 0.0001).

Two-way ANOVA showed a highly significant treatment effect ( F (1,20) = 47, p < 0.0001), time effect ( F (4,20) = 91, p < 0.0001), and interaction effect ( F (4,20) = 11, p < 0.0001), indicating a time-dependent pharmacological inhibition of DAT functions.

When comparing the time ratio Z3/Z1 in both genotypes with age, a highly significant genotype effect ( p < 0.0001) was observed.

IL-19 and beta-defensin expression were also strongly correlated with each other ( r = 0.81) and highly significant ( P < 0.0001), suggesting that both biomarkers are involved in the same pathway of psoriasis pathogenesis.

The difference between the groups for all parameters was statistically highly significant (P<.0001, for all parameters).

Highly significant ( P <0.0001; all evaluations, all readers) improvements in lesion border delineation, visualization of lesion internal morphology and lesion conspicuity versus background were noted for assessments of combined pre- and post-contrast images compared to pre-contrast images alone (Table 3 ).

Lymphocyte percentage (LYM%) and glycated hemoglobin showed highly significant correlations ( P < .0001) in nonsmokers, indicating their potential importance.

rs202071893(A/G), AG heterozygous genotype had a highly significant association with HER2 + receptor ( P = 0.0001, OR = 3.021, and, RR = 2.170) compared to wild type AA showed a significant protective association ( P = 0.0141, OR = 0.246, and, RR = 0.3073) and mutant GG genotype showed non-significant association. rs367917640(G/C), CC showed a protective association (( P = 0.0031, OR = 0.09805, and, RR = 0.1281).

The sensitivities of the 11 C‐MET PET and of the 18 F‐FDG PET for detecting recurrent lesions were 0.97 (32/33, 95% confidence interval [CI]: 0.85‐0.99) and 0.48 (16/33, 95% CI: 0.33‐0.65), respectively, and this difference was highly significant by the McNemar test ( P < .0001).

Highly significant differences were found between sampling sites (χ 2 = 90.42, df = 38, p < 0.0001) and locations (χ 2 = 55.05, df = 18, p < 0.0001).

There was also highly significant positive correlation between serum IMA and MDA ( r = 0.843,P < 0.0001), whereas there were significant negative correlations between serum IMA and uric acid ( r = −0.237,P < 0.05), and albumin ( r = −0.326,P < 0.05).

We found a highly significant positive correlation between the amount of C3d and BI in leprosy skin lesions (r = 0.9612, p<0.0001) ( Fig 7A ) .

This corresponded with highly significant (MM200, Me4405, Mel-RM p < 0.0001, Sk-mel-28 p = 0.0008) increases in XPC mRNA expression in all cell lines (1.27-7.93 fold increase) (Fig. 1b ).

The interaction was highly significant ( p < 0.0001).

All of the observed differences in entropy were found to be highly significant, with none of the permuted networks having an average entropy value greater than that of the real one, indicating a confidence of at least p < 0.0001.