Excerpts

For tool images, we also found a main effect of salience [ F (1,636) = 10.211, P = 0.001, η p 2 = 0.059] and a highly significant salience x phase interaction [ F (2,1107) = 27.780, P < 0.001, η p 2 = 0.318].

Pearson’s Chi-square analysis demonstrated that this age-related distribution was highly significant ( p < 0.001), indicating a notable effect or increased risk in the older population.

The statistical analysis revealed that these improvements from baseline to 12 weeks were highly significant (P < 0.001) for both IPSS and IQL.

The differences seen in 24 months were highly significant ( p < 0.001).

The difference in tumour volume before and after NAC is highly significant, with p < 0.001 (Fig. 3 ).

The following rules were adopted: p < 0.05—statistically significant relationship (marked *); p < 0.01—highly significant relationship (marked **); and p < 0.001—extremely significant relationship (marked as ***).

Staff from governmental universities reported significant lower satisfaction (41.3%) compared to those from private universities (65.1%), with a highly significant difference ( p < 0.001).

, 2008 ; Table 4 ), we find a highly significant haplotype–area curve for Microdipodops ( b =12.918, P <0.001; r 2 =0.922; Fig. 4 ).

Comparing the ALS‐IPS with clinically derived stages based on the King's College system in all ALS subjects reveals a significant trend ( p = 0.001) of higher ALS‐IPS in progressive King's College stages (Figure 3B ).

The Kaiser-Meyer-Olkin (KMO) statistic for all the items is 0.855, and the Bartlett’s test of sphericity shows it highly significant at p < 0.001 (Chi-Square = 6527.001), indicating that the data is suitable to be analysed by EFA [ 19 ].

In a linear model with “Sex”, “Julian date”, and “Year” (continuous variable), the year parameter estimate was highly significant (t = −7.6, p < 0.001), representing 13.8% reduction of the calf body mass during 1992–2018.

Similarly, the difference in mortality (13/20, 65%) between Treatment 3 (20Lv:20Bt) and the control was highly significant (p < 0.001).

We also analyzed the breast cancer-specific survival and slightly significant differences were observed (χ 2 = 140.4, P < .001, Fig. 2 A).

These agents produced highly significant reductions (* P < 0.001) from the early stages of treatment and maintained superior efficacy throughout the 28-day study period.

Results Symptom burden exhibited a decreasing trend at each stage ( F = 36.74, p < 0.001).

Differences are considered significant at a p < 0.05 significance level and marked with “∗”, very significant at p < 0.01 and labeled with “∗∗”, and extremely significant at p < 0.001 and labeled with “∗∗∗”.

The ANOVA results demonstrated that the tests were highly significant, with P < 0.001.

While spearman correlations of ∆ aY with d y (rho = −0.45) and Δ Y (rho = 0.11) did not reach statistical significance, the HCE growth rate of adults Δ A showed a strong, statistically significant correlation with ∆ aY (rho = 0.81, p-value < 0.001).

Log-rank tests for all panels were highly significant ( p < 0.001).

Bacterial community differences were highly significant between strains from 4 to 20 weeks of age (ranging from p = 0.001–0.01).

Bartlett's Test of Sphericity was highly significant (p < .001) and the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy value of .9 supported the factorability of the matrix [ 21 ].

Pearson correlations between replicates were moderate for RF, yet highly significant ( r = 0.534, P < 0.001).

These differences were highly significant based on the ANOVA conducted [ p < 0.001].

There was a highly significant positive correlation between TS and PH ( P < 0.001). 3.3.

On this basis, an independent samples t-test was conducted to compare the differences between the two groups, and p < 0.05 indicated a significant difference (*), p < 0.01 indicated a highly significant difference (**), p < 0.001 indicated an extremely significant difference (***), and < 0.0001 indicated an extremely significant difference (****). 3.