Highly significant increases in median nFLAIR, CNI, and CCrI were observed for NAV→NEL ( p = 1.5 × 10 –16 , 2.4 × 10 –15 , 2.8 × 10 –16 , respectively) voxels compared to stable NAV voxels, while increases in median nADC also reached a statistical significance of p = 0.0009.
Excerpts
In the univariate model, PIP (chosen to represent all other heart rate fragmentation measures) demonstrated a highly significant ability to predict mortality (p = 1.71E-16).
There was a highly significant effect of time for both sides ( p < 2e-16).
This shift is highly significant compared with either the simulated random distribution ( p = 2 × 10 −16 ) or the distribution from the glucose-grown cells ( p = 2 × 10 −11 ; Wilcoxon rank sum test).
The results revealed that genotypic differences were highly significant (F = 15.97, p < 2e–16), indicating substantial variation among genotypes for the trait under study.
In contrast, Sunitinib had a strong and highly significant effect on the fusion index of 54.12 cells at all concentrations tested (p<2 × 10 –16 ).
Logistic regression analysis showed that the correlation between the proportion of proplatelet-forming cells and RNA and protein levels for TPM4 was highly significant ( P < 2 –16 and < 6.23 –12 , respectively) ( Figure 8A ), demonstrating that the level of TPM4 is rate-limiting for platelet formation.
However, the overlap between these two very different approaches is highly significant (Fisher's exact test, p < 2 × 10 −16 ), and the functional enrichments they identify are similar (see below).
We note that this overlap was highly significant ( Figure 2b , Fisher test P <2×10 −16 ), suggesting that age and tumor presence elicit common changes in the DNAm pattern of peripheral blood.
Distance to the sea is also highly significant (R 2 = 0.47, p <2e -16 for Tajima’s D).
Phrase duration of female response songs differed highly significant among the five groups of females (ANOVA F 4,71 = 52.7, p = 2 × 10 −16 ).
As for senior authorship, the difference between men and women was highly significant in both the 1999 (166 vs. 47, p = 2e-16), and in the 2009 cohort (188 vs. 115, p = 3e-5), but inspection of the absolute difference reveals that this difference is diminishing.
This difference in wing length was highly significant (t = −57.479, p < 2e-16).
The analysis of variance showed a highly significant effect of genotypes ( p < 2 × 10 −16 ) (Table S4 ).
Statistical analysis via disk diffusion assays revealed highly significant differences in inhibition zone diameters among microorganisms ( p < 2 × 10 −16 ).
The global TE family effect was found to be highly significant ( P < 2 × 10 −16 ).
We found the effect of rurality to be highly significant ( P < 2.0 × 10 -16 ), but it explains only 28% of the overall variation in log positional error magnitude.
Evolutionary niche shift in response to the mean salinity The mean salinity experienced during evolution had a highly significant effect on acclimated tolerance surfaces ( P < 2 × 10 –16 , likelihood‐ratio test—hereafter LRT—between models with vs. without effects of salinity mean).
The correlation between CpG O/E and gene length is highly significant (Spearman’s r = 0.47, P < 2 × 10 −16 ).
In parallel, a linear model assessing the direct association between mean relative abundance and response demonstrated a highly significant positive effect (estimate = 0.30, P < 2.0e−16), with dataset terms again showing no significant influence (all P > 0.05), underscoring the robustness of abundance-based signals across cohorts.
Laminar quantification showed a highly significant difference in Iba1 intensity across cortical layers [ F (4,531) = 90.19, p < 2 × 10 –16 ; one-way ANOVA] with the highest intensity in L1 ( Figure 7E ; L1 vs.
Highly significant associations (log-rank test, P < 2 × 10 –16 ) for all three variables were observed, in the whole series and in the two subsets (Fig. 1 ).
The genotype×broomrape race interaction was highly significant for TotAD ( F =3.17, P =2e-16), HeaAD ( F =2.96, P =2e-16), and NecAD ( F =3.63, P <2e-16) ( Supplementary Table S3 ).
This was found to be a highly significant over-representation by goseq (Bonferroni adjusted p -value < 2 × 10 –16 , see Figure 2A and Supplementary Data File 2 ).
The smooth terms for longitude and latitude were highly significant, indicating that both geographical coordinates are important predictors of macroplastic concentration ( p < 2e-16, n = 206 for ScriptR results from GAM test, Supplementary Figure S5.2).