“highly significant”

Exploratory analysis led to the observation that participants who obtained COVID-19 vaccine information from such sources also engaged in a higher number of channels for information gathering (median channels = 5 [interquartile range 3,7]) compared to those who did not (median channels = 3 [interquartile range 2,5]) and the difference is highly significant statistically ( Supplementary Table S4 ; p < 0.001).

All the obtained values were statistically highly significant ( p < 0.001).

A highly significant difference was also detected in the distribution of gender, aetiologies and age groups (each p = 0.001).

Highly significant Pearson's coefficients between observed and predicted values for LF (0.69 [95% confidence interval {CI} 0.61 to 0.79], p<0.001) and malaria (0.61 [95% CI 0.52 to 0.71], p<0.001) also indicate the validity of these models.

Statistical differences were interpreted as significant at p ≤ 0.05, highly significant at p ≤ 0.01, extremely significant at p ≤ 0.001 and not significant at p > 0.05.

1.3% (p < 0.001) and therefore in a statistically highly significant increase of the in-hospital mortality (OR 12.42; 95% CI (7.27–21.23); p < 0.001).

Regarding the general ability to understand emotions, there was a highly significant effect of age (F (1, 590) = 16.65, p < 0.001, η 2 p = 0.028) and non-verbal intelligence (F (1, 590) = 42.19, p < 0.001, η 2 p = 0.067).

Before fasting, PCSK9 exhibited a highly significant ( p < 0.001) moderate positive correlation with FBG ( r = 0.40), and weak positive correlations with TG ( r = 0.28) and HOMA-IR ( r = 0.35).

The depths avowed more highly significant (p < 0.001) SOC stocks in topsoils (0–30 cm depth) than that of the subsoils (30–60 cm depth) in the two cropping systems.

The difference in anti-HB titers between anti-HBc positive and negative samples was highly significant ( p < 0.001), being higher in anti-HBc positive samples (median titer anti-HBc negative = 110.2 IU/L and anti-HBc positive = 242 IU/L).

Highly significant changes were found at all the follow-ups (p < 0.001).

Genetic Variation Highly significant ( p < 0.001) genetic differentiation was found between populations for all traits, with differences among populations the dominant source of variation, particularly for the time to peak flowering ( Table 2 ).

Although the correlation value was low, it was highly significant ( r = 0.111, p < 0.001; Pearson correlation).

Overall, the canonical axes were highly significant for both vertebrates (Monte Carlo permutation test: F (8,21) = 1.50, p < 0.001) and spermatophytes (Monte Carlo permutation test: F (8,21) = 2.04, p < 0.001).

One-way ANOVA revealed a statistically highly significant difference between HBSS, placentrex, propolis 10%, and pomegranate juice 5% (p = 0.001) (Table 3 ).

Readiness to quit had small but significant positive correlations with identified regulation for each of the substances measured (rs = 0.118 – 0.262, all p s < 0.05), and small but highly significant negative correlations with external regulation for alcohol ( r = −0.119, p < 0.001) and stimulants ( r = −0.178, p < 0.001).

Many centres showed highly significant ( p < .001) changes in prevalence of rhinoconjunctivitis in the past year (‘current rhinoconjunctivitis’) compared with ISAAC.

The difference between controls and AD was nearly 6 kg for normal HGS, which was highly significant (p < 0.001).

Data analysis results As shown in Table 4 and Figures 4-7 , there was a highly significant difference between the 2 groups regarding mean ± SD of CSAC, ΔCSA, and R-CSA (P<0.001).

Differences between each group were assessed by Student’s t -test, while * p < 0.05 was regarded as statistically significant, ** p < 0.01 was highly significant, and *** p < 0.001 was strongly significant.

Kaiser-Meyer-Olkin test for sampling adequacy: 0.894 and highly significant (p<0.001) Bartlett’s Test of Sphericity indicate that the application of factor analysis is adequate.

The increase in LDH and MPO levels in the IR + BPA group was highly significant ( p < 0.001) as compared to the BPA or IR groups, making the combination exposure a pivotal factor in elevating lung injury ( Table 2 ).

In a multivariate regression that incorporated only the HSL clinical model (low- vs high-risk) and the binary MAP (low vs high), a high-risk MAP remained highly significant as a predictor of both NRM (hazard ratio, 4.01 [2.77-5.81]; P < .001) and overall survival (OS) (hazard ratio, 3.42 [2.48-4.71]; P < .001) in MAGIC patients ( supplemental Figure 3 ).

The results show a highly significant ( p < 0.001 ) dependence on time and tdTomato homozygosity.

Accordingly, the relative reduction over time expressed in percentage change from baseline was highly significant ( p < 0.001, Fig. 2 b).