Similarly, the logistic GAM confirmed a highly significant non-linear increase in overweight risk ( p < 0.001; Supplementary Figure 4 ).
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Specifically, the mean arterial branching angle continued to show a significant difference between the GH and PE groups (Bonferroni-adjusted p = 0.023), and the narrowing of arterial and venous calibers remained highly significant (all p < 0.001).
Although the association remained highly significant ( P < 0.001), the magnitude of the effect should be interpreted with caution.
The difference between the two baits was highly significant (χ 2 = 1582.3, p < 0.001) ( Table 1 ).
Inferential Statistical Analysis The two-way ANOVA revealed a highly significant main effect of the dental product on antimicrobial activity (F (3, 352) = 185.42, p < 0.001), with a large effect size (partial η 2 = 0.61), indicating substantial differences in inhibition zone diameters among the tested formulations.
Specifically, the 200 μg/mL group showed a significant reduction in survival compared to the control (p < 0.01), while the 250 μg/mL group exhibited a highly significant reduction (p < 0.001).
The segmented model was highly significant ( p < 0.001; n = 24) and explained a substantial proportion of the variance in PI (adjusted R 2 = 0.74).
Statistical analysis confirmed a highly significant effect of fungal treatment on larval mortality (Two-way ANOVA: Treatment effect, F 15,256 = 26.92, p < 0.001).
For the gastric cancer data, the overall comparison was highly significant ( p < 0.001), and the effect size (ε 2 ) was approximately 0.35.
Influence of Patient and Nurse Demographics, Procedures, and Clinical Factors on Cannulation Failure Incidence A highly significant association was observed between the type of cannulation failure and the action taken in response (χ 2 = 456, p < 0.001).
brevis , the statistical tests (Pearson’s Chi-squared and Fisher’s Exact) yielded highly significant results ( p < 0.001), indicating a strong and consistent association between larval presence in the soil cores and trap captures.
All of these results were highly significant (p < 0.001), indicating that the observed performances were extremely unlikely to have occurred by chance.
Both TE and the Modified ICPBL test showed highly significant discrepancies in the DA group compared to the control group ( p < 0.001).
Hardy–Weinberg Equilibrium and Linkage Disequilibrium Hardy–Weinberg equilibrium tests revealed widespread and highly significant deviations ( p < 0.001) at all five SSR loci across the eight L. hatsudake populations ( Figure 2 ).
The Chi-square test results related to this contention as highly significant ( P < 0.001).
Welch ANOVA revealed highly significant differences among isolates for both conidial length (F = 41, p < 0.001) and width (F = 41, p < 0.001), indicating substantial variation in conidial size among individual isolates.
Donepezil treatment yielded a highly significant therapeutic effect ( p < 0.001) as compared with the AD group.
Those with high technological engagement reported significantly greater use of GAI (M = 337.88) compared to those with moderate engagement (M = 253.79), with a highly significant result (t = 6.518, p < 0.001).
26 , 27 Most submitted manuscripts report significant ( p <0.05) or highly significant ( p <0.001) results that remain questionable when scrutinized for the underlying analytical modality and the expected clinical relevance.
As shown in Table 3 , highly significant differences in total depression scores were observed among the three latent depression profiles (F(2, 3437) = 3150.21, p < 0.001).
The dbRDA model including all non-collinear predictors explained 65% of the variation in community structure (adjusted R 2 = 0.65) and was highly significant based on permutation tests (F = 6.40, p = 0.001).
Sampling adequacy was confirmed through a Kaiser-Meyer-Olkin measure of 0.939 and a highly significant Bartlett’s test of sphericity (p < 0.001).
Critically, the relationship between HTA steps and completion time remained highly significant after controlling for presentation order (partial r = 0.814, p < .001), indicating that the complexity-performance association is not an artifact of cross-device learning.
Again, the Kruskal–Wallis test was highly significant ( p < 0.001).
The likelihood ratio test was highly significant ( P < .001) for both models, confirming their overall validity.