“highly significant”

Unsurprisingly, the pre-PEG B12 value remained the single most dominant predictor, with its effect being highly significant ( P <0.001).

As shown in Table 3 , the overall log rank test confirmed a highly significant difference in survival distributions among the subtypes in both the ADNI training set ( p < 0.001) and the NACC external validation set ( p < 0.001).

The attitude most strongly associated with adherence was the desire to avoid health complications from gluten consumption, which showed the largest mean difference between adherence groups and a highly significant association ( P < 0.001).

Fisher’s exact test revealed a highly significant association between STs and serotypes across the three species ( p < 0.001 for all), with S. flexneri (Cramér’s V = 0.546), S. boydii (Cramér’s V = 0.788), and S. dysenteriae (Cramér’s V = 0.751) all showing strong associations.

As shown in Table 1 , a three-way analysis of variance (ANOVA) revealed that both cultivar (C) and harvest month (H) exerted highly significant effects on ascorbic acid (AA), dehydroascorbic acid (DHAA), and total ascorbic acid (TAA) ( p < 0.001), with partial η 2 values ranging from 0.456 to 0.784.

The TD group exhibited an ABI of 0.58, whereas the autism group showed a substantially higher value of 1.69, a difference that was highly significant ( t (42) = −7.98, p < 0.001; Figure 5 ).

PERMANOVA testing of both Bray-Curtis and Jaccard matrices confirmed that there were highly significant overall differences among the four groups (pre-release, post-release, bull, and calf; P = 0.001).

These reductions were statistically highly significant compared to the control group ( p < 0.001).

Furthermore, soil bulk density exhibited highly significant interactive effects (grazing × distance, P < 0.001; Fig. 3 c).

Non-anesthesia professionals and patients exhibited mixed results (median: 1.00; IQR: 0.00, 1.00), while the general public largely omitted procedural descriptions (median: 0.00; IQR: 0.00, 0.00), with highly significant group differences ( P < 0.001).

Regarding oncologic recovery, Kaplan–Meier analysis (Figure 3 ) demonstrated a highly significant difference in the probability of resuming chemotherapy/HSCT (Log‐rank p < 0.001).

The difference in contrast between the groups was statistically highly significant ( p < 0.001) (Table 1 ).

Notably, the group variable also remained highly significant ( p < 0.001) with a larger standardized coefficient than that of ΔSE.

In contrast, Tests 4 and 5 produce highly significant results (Chi 2 = 24.19 and 23.78, p < 0.001), leading to rejection of the null hypothesis and indicating that fixed-effects models are required for these specifications.

The analysis revealed a highly significant difference in OS between the high- and low-risk groups ( P < 0.001).

3.2 Glycemic and Anthropometric Parameters The paired differences between all respective pre-treatment and post-treatment anthropometric parameters were highly significant for all treatment groups ( p <0.001).

In addition, the results of the Cochran Q test are highly significant ( Q = 454.41, p < 0.001).

The highly significant p ‐values ( p < 0.001) for the proposed model provide strong evidence that performance improvements are not due to random chance but result from systematically modeling external influences on disease transmission. 4.4.

In this controlled context ( Figure 7 ), a highly significant Treatment × Genotype × Root layer interaction ( p < 0.001) was observed for five traits.

Results confirmed a highly significant main effect of Behavior [F(1, 315) = 4936.22, p <.001, η2 = 0.940], with approach events (mean = 37.65 per session) substantially outnumbering avoidance events (mean = 5.15 per session) across both groups and all sessions.

However, a highly significant discrepancy was observed in the geographic origin of the cases ( P < 0.001).

Two-way ANOVA revealed highly significant effects of concentration (F = 305.0, P < 0.001), exposure duration (F = 90.87, P < 0.001), and interaction between both factors (F = 7.22, P = 0.001).

This corresponds to a relative reduction of 88.9%, which was statistically highly significant (t[45] = 13.336, p < 0.001).

The results confirmed that habitat type had a highly significant effect on root-associated endophytic fungal community structure ( R 2 = 0.49967, F = 4.6143, P = 0.001). 3.7.

Similarly, DO exhibited highly significant differences ( p < 0.001) in nearly all seasonal contrasts for each river, with the only non-significant result being for ZH river between dry and wet seasons ( p = 0.316).