“highly significant”

The association between subvariant classification and caseness was highly significant, χ2(3) = 64.191, p <.001, Cramér’s V = .771, a large effect.

3.2.2 HR for PFS/RFS/DFS/DRS and subgroup analysis Highly significant heterogeneity ( I 2 = 74.8%, P = .001) was detected when 6 studies were adopted to pool HRs for PFS/RFS/DFS/DRS.

For all possible groups formed by combinations of five such blocks (53130) a number of strong (|r| > 0.5) and highly significant (p < 0.001) correlations was calculated.

The mean NT-proBNP level in the severe group was 6,920 ± 2,310 pg/mL, whereas it was 3,240 ± 1,580 pg/mL in the mild to moderate group, demonstrating a highly significant difference (p < 0.001) (Table 2 ).

Parents performed more coordinated switches per hour (6.6 ± 2.8) than unsynchronised feeding trips (2.4 ± 1.3) and the difference was highly significant (t = −5.23, df = 13, p < 0.001).

Both the original and new score showed a highly significant influence on survival with P < 0.001.

S 3 in Appendix S 6 ) was highly significant ( P < 0.001) with b LD = −0.009 and −0.004 for P SWC and P SEC respectively, leading to S p statistic values of 0.009 and 0.004 (Table 2 ).

Crucially, the BLRT for the four-class model was highly significant (P < 0.001), providing the gold-standard statistical justification for its retention over a three-class solution.

All three F tests were highly significant [condition: F (3, 27.97) = 112.77, p < .001, distance: F (1, 49.81) = 133.76, p < .001, and condition × distance: F (3, 30.48) = 20.06, p < .001].

PERMANOVA on ‘dynamisms’ (main effects and pairwise tests) Main effect and pairwise test The three-way PERMANOVA (excluding ‘shame’ and ‘guilt’) revealed highly significant main effects for ‘dynamism’ (Pseudo- F = 15.53, p = 0.001), ‘Location’ (Pseudo- F = 4.52, p = 0.001), and ‘Time’ (Pseudo- F = 18.07, p = 0.001) ( Supplementary Table S6a ).

Nonetheless, we have increased the sample size from n = 50 to n = 90 and obtained a highly significant correlation, r 90 = -0.40, p < 0.001.

Among them, the differences in C14:0, C16:0, C17:0, C18:1n-9, C18:2n-6, and C18:3n-3 between male and female ducks were highly significant ( P < 0.001).

On the contrary, a highly significant difference ( p < 0.001) was observed between the p 35SGFP -transformed protoplast groups and the WT group or the pPr HSP17.6aGFP -transformed protoplast groups ( Figure 2 ).

5 D, P = 0.018), and GSE65858 displaying a highly significant relationship ( Fig. 5 E, P < 0.001). 3.5.

Multiple studies have reported that the major allele rs2075650-A has highly significant ( p < 0.001) predictability of survival to ≥90 years old in Chinese [ 41 , 45 ], European [ 7 ], and admixed (White, Black, and Hispanic) populations [ 29 , 34 , 40 ].

These differential expression patterns exhibited statistical significance, as evidenced by a highly significant P -value of<0.001 ( Fig. 5 A–D).

Using the qualitative global scarring grading system, it was found that the three groups showed highly significant improvement in the severity of acne scars after treatment ( P <0.001).

There were highly significant correlations between levels of total nitrogen, microcystin, and microcystin synthesis gene abundance across all surveyed sites ( p < 0.001), suggesting high levels of nitrogen supported the production of microcystin during this event.

The relationship with meat consumption is highly significant (data up to 1950 only: r = −0.968; N = 12; P < 0.001).

Further correlation analyses revealed a highly significant positive correlation between the measured plasma levels of IL-10 and IL-19 ( p <0.001) in patients with COM, but no significant correlations between all other measured cytokines ( Figure 2 ).

Highly significant differences in VK2 serum concentrations between controls and MS patients were found ( p < 0.001) with controls showing more than three-fold higher levels on average.

Dairy consumption frequency and sociodemographic determinants Residential area was the strongest sociodemographic predictor of dairy consumption frequency, with highly significant differences observed for traditional products: Butter ( p < 0.001), Lben ( p < 0.001), and Raib ( p < 0.001).

The results showed that highly significant differences were observed in CH 4 fluxes among different treatments ( p < 0.001).

The Kruskal-Wallis test revealed highly significant differences between time groups for all classes: i. diplococci : H = 368.61, p < 0.001; ii. monococci : H = 148.21, p < 0.001; iii. tetracocci : H = 18.11, p = 0.0004; 3.

There was a highly significant difference in the educational status between cases and controls (χ2 = 114.01, p < 0.001).