At the local scale, analysis revealed a highly significant isolation-by-distance pattern when all areas were tested jointly (r 2 = 0.069; Mantel test p < 0.0001; Figure 5 ).
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This effect is highly significant ( p < 0.0001).
We found a highly significant correlation between the F ST values of the paired loci (correlation coefficient = 0.3288, P < 0.0001).
The corresponding ANOVA results (amplitude versus group x contrast) revealed a highly significant effect of contrast (F = 1275, p<.0001), no effect of group (F = 2.1; p = .15), nor any interaction (F = 1.9; p = .17).
Prin1 showed a highly significant correlation to the genomic GC content ( R = 0.9394, p < 0.0001), indicating that, to a large extent, genomic GC content determined amino acid usage.
According to this model, we can deduce that the regression model is highly significant ( p < 0.0001).
This difference is highly significant ( P < 0.0001).
Statistical significance was defined as significant (* p -value ≤ 0.05), very significant (** p -value ≤ 0.01), highly significant (*** p -value ≤ 0.001) and extremely significant (**** p -value ≤ 0.0001). 5.
A 2 time (pre- and posttest) × 3 group (2 d, 4 d, 10 d) ANOVA with time as a repeated measure showed this to be highly significant ( F (1,21) = 52.392, P < 0.0001, r = 0.84).
The results indicated that the model for 2, 6-DIPA hydrolysis efficiency is highly significant, with an F-value of 50.59 and a p -value < 0.0001.
In subjects 6–55 years of age, the adjusted odds ratio (OR) of severe disease in the presence of S pneumoniae was highly significant ( P = 0·0001).
Non-spatial linear regression of altitude on logarithm transformed concentrations of cyanogens showed highly significant association, (p < 0.0001).
The cumulative GDD term is highly significant ( t = 74.77, df = 623, P < 0.0001).
For example, Fig 5 shows one example of a highly significant relationship between the date and phi (β = 1.779, p<0.0001).
The difference in SARS-CoV-2 prevalence as shown in high- and low- or middle-income countries was highly significant (5.1% [1634/32,053] vs 21.6% [11,521/53,221], P<.0001).
Mean itch intensity was 50.6% ± 3.5% during the 25°C block (intervals 6-10) and 33.8% ± 3.9% during the 32°C block (intervals 1-5) with a highly significant difference (P < 0.0001) between the 2 temperature blocks (Figure 1 ).
In the most extensive study to date ( n = 208), the authors showed a marked difference in the vWF:Ag levels between critical (507%) and noncritical (288%) patients, which was highly significant ( p < 0.0001).
A highly significant difference ( p < 0.0001) was also detected between mGluR1a-rescue and mGluR1b-rescue mice in the −30 to +30 nm interval (Figures 4C,D ).
No significant effect of empagliflozin on leukocyte and platelet count was found, whereas a highly significant increase in red blood cell count was detected (β-estimate: 0.29 (95% CI 0.20–0.38), P < 0.0001).
The difference between survival curves was highly significant for PRS2 (p < 0.0001).
The model outputted a distribution of values with highly significant difference in their means (p < .0001) ( Fig 5 ).
The difference was highly significant (P < 0.0001) when all three cohorts shown in Figure 3 (RA, SLE, HC) were simultaneously compared.
PBMC p/t-S6RP inhibition was highly significant at Day 8 and was maintained through Day 15 (n = 8, Figure 4B . , p<0.0001).
A similarly designed study using everolimus (initiated at 4.5 months post-transplant) in 300 patients also showed a highly significant increase in eGFR at 1 year after transplant (eGFR 71.8 versus 61.9 ml/min/1.73m 2 , P <0.0001) [ 13 ].
The F -value of 100.83 implies a highly significant model ( P -value < 0.0001), indicating the capability of model terms to explain the variation in the response variable (IZD).