“highly significant”

Notably, LGALS9 and SIRPA showed highly significant differences between the high- and low-risk groups (P<0.0001) ( Figure 6B ).

ANOVA revealed highly significant differences among treatments ( p < 0.0001), and Tukey’s post hoc test confirmed that the combination exhibited significantly higher inhibition compared to salicylic acid ( p < 0.001) and ibuprofen ( p < 0.001) alone, while ibuprofen was also significantly stronger than salicylic acid ( p < 0.001).

The mean body weight of the intervention group at baseline was 55.75 ± 8.61 kg, which was reduced to 54.28 ± 8.12 kg at the end of the study; this difference is highly significant ( P = 0.0001).

We identified a highly significant difference of the mean scores between the groups with a p -value of <0.0001.

This correction was highly significant, P < 0.0001 ( Table 1 ).

In the already cited study on compliance to SCIT, SLIT, and LNIT in children, data on SLIT concerned 806 patients, 173 of whom (21.4%) were noncompliant, with a highly significant difference (p < 0.0001) for a better compliance in hospital setting (90.5%) compared to private office setting (61.2%); the most common reason of withdrawal was the cost of treatment, reported globally in 36.4% of cases, followed by inconvenience, feeling of inefficacy, and side effects ( Pajno et al 2005 ).

The differences in the mean scores at three points of time were statistically highly significant ( P < 0.0001).

As a result, the difference in mortality remained highly significant ( p < 0.0001).

Correspondingly, the present study on the association of the SNP rs13181 with predisposition to Breast cancer showed a significant to highly significant positive association of greater than 2-folds for the rs13181 homozygous mutant (CC) (OR 4.412, 95% CI 2.413 to 8.068, P < 0.0001), heterozygous (AC) (OR 2.086, 95% CI 1.246 to 3.492, P = 0.0056) and combined mutant (AC + CC) (OR 2.672, 95% CI 1.647 to 4.334, P < 0.0001) genotypes.

Expressing the survival as CFU/ml instead of as percentages however reveals a highly significant difference between the strains in the actual number of surviving bacteria at 2, 9, and 21 h post-penicillin addition ( P < 0.0001), which again can be explained as a significant strain dependent difference in invasiveness (Figure 5 ).

We observed a highly significant linear correlation between the cycle threshold (Ct) of both genes (beta-actin vs GAPDH, r = 0.912, F (1,46) = 157.73, p < 0.0001).

Results We identified thirteen loci showing significant differential DNA methylation levels between tumor and non-tumor lung; eight of these show highly significant hypermethylation in adenocarcinoma: CDH13, CDKN2A EX2, CDX2, HOXA1, OPCML, RASSF1, SFPR1, and TWIST1 (p-value << 0.0001).

By two-tailed t-test, all markers exhibited highly significant (P<0.0001) decrements in immunoreactivity in the AD twin compared to the ND twin ( Figure 2b ).

Chi-squared comparison of the frequency of mutations in the V genes expressed by hybridomas derived from BP2 transgenic mice revealed the frequency difference between endogenous canonical V H genes and B29 promoter-driven 36-65V H genes present in hybrid loci was highly significant ( P <10 −4 ).

Although in this extended set marker rs3805663 did not reach a significant p-value any more, several additional markers showed highly significant results with the most significant result for rs6596189 (p = 1 * 10 -4 ).

Parity ( p -value < 0.0001), menopausal status ( p -value = 0.0001), BMI ( p < 0.0001), and education ( p -value = 0.001) showed the most evident differences (Table 2 ). We found a highly significant ( p < 0.0001) lower vegetable intake among cases (mean 85.24 g/day, SD 50.62) with respect to controls (mean 112.24 g/day, SD 74.49) and a less pronounced, lower fruit intake (mean 262.87 g/day, SD 140.98 vs mean 289.35 g/day, SD 146.28), while no association was found with alcohol intake or total energy intake (Table 2 ).

Comparisons of mean T cell frequencies in active and inactive SLE samples and controls revealed highly significant associations (P < 0.0001) with the disease in general, and confirmed the inverse correlation with disease severity in particular ( Fig. 6 C ).

The difference between CD and DH patient groups upon inhibition with TGe was highly significant ( P < 0.0001; Fig. 4 ).

Differences were considered significant when p < 0.05 and highly significant when p < 0.0001. * p < 0.05, ** p < 0.0001 versus mock control; # p < 0.05, ## p < 0.0001 single treatment with vitamin D3 (0.1 μM) versus combined treatment with increasing doses of AFB1.

subjects who ate no seafood, these differences were highly significant ( p < 0.0001) with Hg levels that were higher 3–7-fold in maternal hair, 7–8-fold in maternal blood, 4–6-fold in the placenta, and >10-fold in cord blood.

Comparisons with neurons in the same preparations expressing mCit:GKAP but not PSD-95:mTurq2:mAID revealed that the increase in mCit:GKAP fluorescence was highly significant ( p = 1.0*10 −4 ; 12 and 6 neurons, respectively).

As shown, there are highly significant positive relationships between PAS total score and SBS score (r = 0.527, p < 0.0001), between SBS score and openness (r = 0.455, p < 0.0001), and between SBS score and agreeableness (r = 0.433, p < 0.0001).

The correlations between R-values for filaments of different sizes, as well as between gratings of different sizes, were positive and highly significant ( p < 0.0001).

In terms of soil organic matter content, Wutai County had a significantly higher level (35.25 ± 4.20) compared to Pingshun County (26.65 ± 2.14), and this difference was statistically highly significant ( P < 0.0001).

An analysis of variance of the factor score variances was statistically highly significant ( P < 0.0001) indicating that a large amount of the periodic variability could be explained by the variances in the physiochemical attribute factor scores.