Excerpts

Fear of parental accident modelisation and car accidents death rate The ecological variable, car accident death rate per 100,000 population, was highly significant and indicated that higher rates were associated with increased odds of reporting fear of a parent’s accident (p<0.0001).

In a separate model of the group of secondary auditory sites, in contrast, these factors are highly significant ( t = 7.17; p< 0.0001, and t = 3.89; p = 0.0002, respectively), showing that in secondary auditory areas such modulation is call-specific.

As indicated in Fig 2C , the difference between malignant tissue and non-malignant paired tissue was highly significant ( p <0.0001), and the difference between malignant tissue and benign tumor tissue was significant ( p = 0.0115).

Although the figure for the difference between Brazil and Mexico was not the greatest, it showed a highly significant P value (P<0.0001) suggesting a geographically structured population ( Table 3 ).

Age is also highly significant (younger p < 0.0001 in univariate analysis), as is the prevalence of socioeconomic disadvantage in the local area where respondents live (less disadvantage p = 0.0006 in univariate analysis), but both become non-significant in multivariate analysis, i.e. when analysed in the context of the other independent variables.

There was a positive and highly significant correlation between DWI on the day of sampling and blood glucose levels, both when all voles are considered ( Figure 3 : N = 187: Z = 8.645; Rho = 0.634; P <0.0001) and when PD voles ( Figure 4 : n = 38: Z = 2.964; Rho = 0.487; P = 0.0030) and non-PD voles ( Figure 5 : n = 149; Z = 4.49; Rho = 0.369; P <0.0001) are analysed separately.

To further characterize what the changes across time were, a linear contrast of the interaction term was determined and was found to be highly significant (p<0.0001), indicating that the groups made linear changes across time with different slopes.

For both pathogens, we found a highly significant effect of the heat treatment (F = 72.4, P < 0.0001 and F = 25.2, P < 0.0001 for P . ramorum and G . clavigera , respectively) and an interaction between treatment and time point at which the gDNA and mRNA samples were collected (F = 4.2, P < 0.001 for P . ramorum and F = 2.7, P < 0.01 for G . clavigera ).

The comparison of classification scores for the non-DM control samples showed statistically highly significant differences ( P <0.0001) compared to T1D and as well as to T2D patients ( Figure 2B and Table S2 ).

These trends, for both stage and grade, were highly significant ( p <0.0001 and p <0.0001, respectively).

Haplotype association with shell color was found in two lines and was highly significant (p<.0001) in both lines.

All vaccinated groups showed 0% mortality when challenged, which was highly significant compared to the non-vaccinated controls (40 and 28% mortality eight and twenty-six weeks post vaccination (wpv), respectively) (P<0.0001).

After accounting for multiple comparisons, this level of detection remains highly significant (p-value<0.0001).

The difference between p35S : cOBE3 wus-1/+ and empty vector wus-1/+ control is highly significant in both seedling and shoot stages (both Chi square, p<0.0001).

It remains to be investigated whether recombination influences the MST algorithm used here in the same way, but a PHI test indicated highly significant levels of recombination in this dataset (p<0.0001).

The difference in AGLA expression by FA concentration was quite significant (F (5,12) = 20.58, p < 0.0001).

A highly significant correlation between CNP and TNF-α (p<0.0001) was detected in cardiac tissue ( Fig. 6 ).

The enrichment is highly significant when compared to the frequency of such chromatin for all 23,393 genes we assayed (P <0.0001, chi-square test).

The difference between the TRAP-N/CSP-RT (comb) (10/10) and TRAP-N/CSP-T (comb) (0/10) groups was highly significant (p<0.0001, Fisher’s exact test).

For single items of the scores that showed a highly significant difference between groups (p < 0.0001) an optimal cut off to predict 30-day mortality according to the Youden index was calculated.

The difference of prevalence in Rio de Janeiro between 2008 and 2010 was highly significant (Fisher’s test, P < 0.0001).

In contrast, the random effect of sample was highly significant (from bootstrapping approach, p < 0.0001) indicating the marked biological variability between Linum stems.

There were highly significant effects of three of the four individual variables on epitope-specific endpoint titers (p<0.0001); the only individual variable not having a significant effect on antigen endpoints was the geographic origin of the sera (p = 0.0709).

For human genes, highly significant differences were found between G1 and G2 (F = 1.29; p <0.0001), G1 and G3 (F = 1.33; p <0.0001), or G1 and G4 exons (F = 1.33; p <0.0001), while none was found between G2 and G3 (F = 1.04; p = 0.4254), G2 and G4 (F = 1.03; p = 0.4285), or G3 and G4 exons (F = 1.00; p = 0.9243).

The analytical concordance between Axsym and Architect assays was highly significant (p<0.0001, r = 0.7737, 95%Cl0.7482–0.7969).