Results Exploratory Factor Analysis (EFA) The Kaiser-Meyer-Olkin measure of sampling adequacy index was .74, and Bartlett’s test of sphericity was highly significant, χ 2 = 1076.26, p < .0001, indicating that the sample and correlation matrix were appropriate for exploratory factor analysis (EFA).
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Unpaired Wilcoxon test confirmed this difference was highly significant ( P <0.0001).
Expressed as multiples of the 99 th percentile, the TnT concentration was elevated 3.5 fold (interquartile range: 2.2 to 5.2) compared to 0.4 fold for TnI (interquartile range: 0.2 to 0.7; Figure 1C ), which represented a highly significant difference (p<0.0001).
5.7%); therefore, this ~2.5 fold enrichment was highly significant (P < 0.0001, hypergeometric distribution).
Assessment of total GIPR protein levels in both males and female mice reflected the mRNA findings and depicted a highly significant decline in expression from P7 to P21 ( Fig 2H and 2K , males p<0.0001, females p<0.0001). 2.5 Correlations of protein expression with glucose levels and body weight To determine a potential role or link between receptor expression in the hypothalamus and functions in physiology in development, we analyzed correlations between postnatal blood glucose and body weight in males and females combined.
The difference between these means is highly significant (n = 28; P<0.0001, paired t test, two tailed).
These results indicate that pre-epidemic baseline antibody cross reactivity was stronger in the elderly (≥60 yrs) and weaker in children and adolescents (<20 yrs) and adults (20–59 yrs), with highly significant differences between age groups ( P <0.0001).
Results showed that treatment (mock/WT) altered host mobility ( F (1,67.4) = 5.27; P = 0.0248), depending on the dpi ( F (2,65.7) = 9.25; P = 0.0003), and a highly significant interaction was found between treatment and dpi (treatment*day: F (2,65.7) = 11.00; P<0.0001).
Levels of C3C in serum and heparin plasma of COPD patients had a highly significant correlation (R 2 = 0.86, p<0.0001).
All variables included in the SDMs were highly significant for both the pine and the disease (p-value < 0.0001).
Using model estimation of the change in diversity indices associated with 3 months of age we found that the increase in diversity was highly significant for all children as well as those in the case and control groups separately for all diversity indices examined (P <0.0001).
Tests for heterogeneity of allele distributions were highly significant for all 19 SSR loci ( P <0.0001).
The correlation between Δ7 SMN baseline and Δ7 SMN at one year was less than flSMN, but still highly significant (p<0.0001).
General linear model analysis showed this difference to be highly significant (P < 0.0001).
Finally, site had a highly significant effect on flower height above ground level (X 2 = 344.16, df = 2, p <0.0001).
Results of multivariate analyses showed highly significant effects of flow [Pillai’s V = 0.579; F(3,255) = 116.9, P<0.0001] and of speed [Pillai’s V = 0.367; F(12,771) = 8.95, P<0.0001].
As expected, both the total differentiation and differentiation along each of the two first axes, were highly significant (global F ST = 0.19, p <0.0001; PCA1 F ST = 0.050, p <0.0001; PCA2 F ST = 0.046, p <0.0001).
A gene set/list was considered as having highly significant overlap and included in further analyses if p<0.0001, p values for the MSigdB analysis were calculated using the hypergeometric test.
This difference was determined to be highly significant (p<.0001; number of trials = 1500; number of successes = 1139) using a binomial test and therefore the accuracy in estimating land cover actually increased in the final stages of the competition.
The group treated with VP2.51 from day 1 after treatment with L-BMAA (L-BMAA + VP2.51 PT1) ( S3 Movie ) presented highly significant differences in the evolution of the neurological evaluation from the group treated only with L-BMAA (F = 89.34, p <0.0001) ( Fig 3 ).
Brood size is also a highly significant predictor of nestling mass, with larger broods containing lighter nestlings (-0.52 ± 0.09; F 1,456 = 35.93, P <0.0001).
A mixed effects model that accounted for the structuring effect of Municipality found that total Cl was the single best predictor of Sobs, with a marginally significant negative effect of WT (observed vs fitted R 2 = 0.58, P<0.0001).
As shown in Fig 2 , plaques formed in the RAP-treated cultures were smaller and less numerous (mean = 199.3, SD = 9.2, n = 54) than those formed in the control wells (mean = 329.1, SD = 6.7, n = 205), with a two-tailed independent t-test revealing this difference to be highly significant (t = 9.290, d.f. = 257, p<0.0001).
Interestingly, the overall number of negative predictors was lower (median 2.0, range 0–5) in individuals with SVR versus patients with virologic failure (median 3.0, range 1–5) and this was highly significant ( Fig 4A , P <0.0001).
There is a highly significant correlation (P<0.0001) between the reduced number of DCs and delay in treatment initiation.