“highly significant”

The mean sacral length measured from the promontory to the apex of the sacrum was higher in males, and this sex difference was highly significant (p < 0.001).

Kaplan–Meier analysis confirmed that these differences were highly significant ( P < 0.001 for both DFS and OS).

All formulas showed highly significant predictive prognostic values (log-rank test, P < 0.001).

The results of univariable Cox regression with RCS showed the HR was approximately close to one until 1.3 of VR and a highly significant positive correlation between VR and HR was presented from the onset of 1.3 of VR (HR = 1.05 per 0.1 increase, 95% CI [1.04–1.07], p < 0.001) (Fig. 2 c).

A two-way RMANOVA on the log-transformed data revealed a highly significant improvement across sessions ( F (1,8) = 33.79; p < 0.001) but no effect of within-session run ( F (1,8) = 0.28, p = 0.62).

Region effect on the risk of death was highly significant ( p < 0.001), with a factor of 3.25 per week.

To evaluate whether transcriptional signatures based on differential expression analysis could segregate subjects from distinct states of infection, we applied an unsupervised hierarchical clustering on expression data from highly significant DEGs between all groups (ANOVA P < 0.001, 2232 genes), shown in Fig 1C .

The Chi-Squared contingency analysis showed a highly significant association between the two datasets for both the two layer cluster result (χ 2 = 5.18e + 005, p < 0.001) and the four layer cluster result (χ 2 = 7.78e + 005, p < 0.001).

Furthermore, there was a highly significant difference in V T * between the isoflurane condition and the ket/dex condition ( p < 0.001) in both frontal cortex and hippocampus.

test of the statistical significance of the allele frequency divergence between the two populations, were highly significant (p < 0.001).

Additionally, Fu’s F value was negative and highly significant ( F = − 25.517, P < 0.001), supporting deviations from neutrality.

palmeri differ in all three features measured and the differences are highly significant statistically (p << 0.001).

= 0.59), with a highly significant difference between groups (Fig. 4h , two-sided t -test: t (200) = 125.50, P < 0.001, d = 17.75, 95% CI 73.4–75.8).

Statistically highly significant (p<0.001) differences were found when comparing transport-related mortality rates in individual seasons of the year.

Highly significant differences ( P < 0.001) were recorded for the different water regimes for all traits ( Table 2 ; Figure 1 ).

In relative terms, however, the most prominent and highly significant rise was observed at 2.0° with +9.6 % (p < 0.001).

It was presented that only clinical stage and the risk score were remarkably related to LUAD patient’s prognosis ( p < 0.05), and only the risk score displayed a highly significant correlation ( p < 0.001) ( Figure 6B ).

As the effect associated with NHS healthcare experiences in the partial model excluding trust is very highly significant (AOR=1.46, 95% CI 1.27 to 1.67, p<0.001), although lower than the effect associated with trust in the partial model excluding NHS healthcare experiences (AOR=2.06, 95% CI 1.8 to 2.36, p<0.001; AOR=2.06, 95% CI 1.8 to 2.36, p<0.001), it seems plausible that the effect of NHS healthcare experiences on uptake may be mediated by trust: a possibility to which we shall return in the exploratory analysis presented in the following subsection.

T-tests were employed to analyze statistical significance, with * p < 0.05 indicating a significant difference, ** p < 0.01 indicating a highly significant difference, and *** p < 0.001 indicating an extremely significant difference. 3.

Access to care was statistically significant ( P =.012) while stage of disease, treatment received, and treatment status were all highly significant ( P <.001).

Pearson correlation tests showed that there was a close and highly significant relationship between hippocampal SUVr and escape latency ( r = −0.78, p = 0.001) and percentage of path in the target area ( r = 0.81, p < 0.001) ( Figure 5 ), suggesting a notable correlation between changes in hippocampal glucose and changes in Alzheimer’s cognition after the onset of symptoms.

The normalization procedure yields a statistically highly significant correlation (adjusted R 2 = 0.68 with p value <0.001), thus supporting our hypothesized exponential relationship between MAR at a certain location in the fjord, relative to both the core location’s distance to the margin of the most productive glacier and to the surface runoff from the glacier catc

In the ileum, starch source had a highly significant ( P < 0.001) influence on Na + /K + -ATPase activity.

The regression model was highly significant (Wald χ 2 = 57,878.45, p < 0.001), revealing that no effect of defect diagnosis was present, while there was a significant effect of the treatment in both groups, particularly evident over time ( Table 3 ).

A 2 × 2 × 2 repeated measures ANOVA with Time (pre/post‐treatment) and Trial‐Type (repeat/switch) as within‐subjects variables, Group (verum/placebo) as between‐subjects variable and mean RT as the dependent variable yielded highly significant effect of Time, F (1,57) = 39.05, p < 0.001, η 2 = 0.41, reflecting practice effects and Trial‐Type, F (1,57) = 92.55, p < 0.01, η 2 = 0.62, reflecting increased RT for task switch trials.