The increase in the mean levels of chromium in urine was highly significant from 0.29 μg/l before implantation to 3.19 μg/l at the time of explantation (p>0.001), considerably higher than the reference value of 0.6 μg/l.
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p=0.09
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Both contrasts were highly significant (t = −5.2 and −6.2, p < 0.001).
All pairwise F ST values of genetic differentiation were highly significant ( p < 0.001), and showed that the offspring were differentiated from the cultivated roadside trees (0.062 and 0.059, respectively; Table 2 ), but not from the native adults (0.004 and 0.005, respectively; Table 2 ).
A random permutation test indicated that the proportion of variance attributable for all hierarchical levels were highly significant ( p < 0.001).
Results The mean (SD) MCC (measured by UDS) in Group A, was 212.25 (24.26) mL before treatment and 266.25 (26.70) mL after treatment, a highly significant increase of 25.44% from the baseline value ( P < 0.001).
ROI analysis The multivariate GLM, which included the hippocampal CA1–3 areas, dentate gyrus, and stratum granulosum of hippocampus yielded in a highly significant effect of factor running ( p < 0.001) and in a tendency for factor cafeteria-diet ( p = 0.087).
The differences between the two groups were highly significant ( p < 0.001).
All differences between Trad-PTT and Inter-PTT were highly significant (p<0.001).
The mean PD reductions from baseline to 3 and 6 months were found to be 1.74 ± 0.14 mm and 1.93 ± 0.26 mm, respectively, for control group, which was highly significant ( P < 0.001); and 1.93 ± 0.33 mm and 2.03 ± 0.31 mm, respectively, for test group, which was highly significant ( P < 0.001).
Data were considered to be significant if p < 0.05 and highly significant with p < 0.001.
There was a highly significant reduction in eggs/g soil between both 15 and 22.5°C and also between the latter temperature and 25°C ( p < .001, univariate anova , Figure 3 a).
For male candidates, the accuracy of GEBV was lower for 500 (− 40.0%) and 250 (− 65.8%) SNPs than the accuracy obtained with 1000 SNPs but the increases in gain for genomic scenarios based on 250 and 500 SNPs, compared to the classical design, were highly significant ( P < 0.001).
An analytical approach describing the response curve by logistic regression highlights the highly significant correlation between response and sound frequency (% of responding oysters = 2.021–0.006 frequency; p < 0.001).
Volume of newspaper articles was highly significant ( P < 0.001) in all four models.
Similarly, the difference in mortality (13/20, 65%) between Treatment 3 (20Lv:20Bt) and the control was highly significant (p < 0.001).
After the trabeculectomy, only 1 patient (3%) took Diamox and 35 patients (92%) stopped taking Diamox, showing a very highly significant statistical value ( P < 0.001).
The result is found to be highly significant ( χ 2 = 45.5, df = 3, and p < 0.001).
Taken together, the analyses (McNemar’s test, Cohen’s Kappa and sensitivity/specificity analyses, all of which are reported in Table 3 ) revealed that there were highly significant differences ( p < 0.001) between the measures with respect to their ability to capture the various sleep outcomes (SOL, EMA and NoW).
The likelihood ratio tests of α for all predictors were all highly significant ( P < 0.001) implying that the variance in the data was higher than would be expected for a Poisson regression model.
The overall ratio of 66 positive to 18 negative test results was highly significant (binomial test, p < 0.001), and the individual ratios of two of the three birds were significant at the p < 0.05, and that of one at the p < 0.01 level.
Addition of the 3’UTR to the ChABC cDNA resulted in highly significant growth cone targeting (P<0.001, n = 106 growth cones) of the enzyme.
For the nDNA sequence data, pairwise estimates of F ST between populations ranged from 0.073 to 1 (mean = 0.712), and all comparisons were highly significant ( P < .001; Table S5 ).
60% both at the lowest (16°C) and the highest (30°C) temperature, resulting in an inverted U‐shaped TPC (Figure 3 ); a pattern supported by the highly significant quadratic effect of temperature (χ 2 = 122.3, df = 1, p < .001).
The difference in increased activity engagement was highly significant at p < 0.001.
To investigate this pattern further, we applied a constrained analysis of principal coordinates on the data with strain as an explanatory variable with a correction for sex effects, which reveals a highly significant effect (ANOVA: P = 0.001, F 2,44 = 2.030) with R 2 = 0.0819 (R 2 adj = 0.0425) (Fig. 2B ).