Barely Significant

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highly significantP < 0.0010.0× alphaqualifiedgold
Results Rating of emotional valence The main effect of the ‘regulation type’ was found to be highly significant ( F (2174) = 157.5, P < 0.001, = 0.357): participants rated their emotions more positively in the distraction (4.82 ± 1.12) and reappraisal blocks (4.86 ± 1.10) when compared to the no-regulation block (3.88 ± 1.16, P < 0.001), whereas the emotion valence between the reappraisal and distraction blocks did not differ ( P = 1.000).
highly significantp < 0.0010.0× alphaqualifiedgold
Comparison of thrombus distribution characteristics by risk stratification Highly significant differences in thrombus distribution across pulmonary lobes and vascular levels were observed among the different risk stratification groups (all p < 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
We found that heterozygous parents produced a highly significant excess of heterozygous genotypes for markers within the MUP cluster (χ 2 = 71.2, df = 2, p < 0.001), whereas for markers flanking the cluster, offspring genotypic frequencies did not differ from Mendelian expectations (χ 2 = 3.52, df = 2, p = 0.17, Supplemental Fig.
highly significantP < 0.0010.0× alphaqualifiedgold
In particular, the general additive model (GAM) analyses show a highly significant temporal variation in rate (χ 2 = 40.15, df = 9, P < 0.001, adjusted R 2 = 45.8%, deviance explained = 12.8%) with a model in which the diversification rates trends receiving more support than one in which it steps suddenly (evidence weights = 0.9931 and 0.0069, respectively).
highly significantP < 0.0010.0× alphaqualifiedgold
The intragroup difference in Group A and Group B was statistically highly significant ( P < 0.001) at 1 month and 3 months of follow-up from baseline as well as between 1 month and 3 months, but the intergroup difference between both the groups was not statistically significant ( P > 0.05) at the three time intervals.
highly significantp < 0.0010.0× alphaqualifiedgold
An inspection of the median scores shows that the differences between rural and urban residents were especially large and highly significant ( p < 0.001 for the MW test with Bonferroni correction, unless otherwise stated) for individuals aged 65–74 (MW = −4.4); living in company (MW = −3.9); with primary or no education (MW = −5.4); making ends meet with some difficulty (MW = −4.4); with fair self-perceived health (MW = −3.6); suffering
almost significantp < 0.0010.0× alphagold
When we took into account study designs, the meta-analysis yielded no association between NSW and BC in cohort studies (pooled effect estimate = 1.04, 95%CI = 0.91–1.18, I 2 = 36.3%, p = 0.139); for nested case–control studies, it showed an almost significant risk increase, although with high heterogeneity (pooled effect estimate = 1.34, 95%CI = 0.96–1.88, I 2 = 82.2%, p < 0.001); and, finally, in case–control studies, the pooled risk indicated an excess risk of BC among exposed women (pooled effect estimate = 1.22, 95%CI = 1.01–1.48, I 2 = 0.0%, p = 0.613).