“highly significant”

Similarly, pooling 13 studies on male athletes yielded a medium-to-large, highly significant effect (ES = 0.79, 95% CI: 0.37, 1.20; p < 0.001).

Statistical analysis confirmed a highly significant effect of time on functional outcome ( p < 0.001).

A comparison of contingency tables, evaluated against ground-truth labeling, revealed a highly significant difference ( p < 0.001) in the diagnostic accuracies of ICH identification between RAPID ICH and the first-year radiology resident. 3.4.

The most pronounced difference was observed in tannin content, with wild material showing a 64.6% increase (7.9 ± 0.6 mg CE/g) that was highly significant ( p < 0.001) compared to the cultivated type (4.8 ± 0.4 mg CE/g).

A highly significant effect ( p < 0.001) was observed in interventions such as organic acids, bacteriophages, plant extracts, probiotics, and organic iron complexes added to feed or drinking water; although drinking water was proven to be a more effective means of administration than feed for extracts and organic acids.

Repeated-measures ANOVA demonstrated a highly significant change in Cobb angle over time ( F = 101.18, p < 0.001) with a very large effect size (η 2 = 0.87), indicating that time, i.e., the course of brace treatment accounted for 87% of the variance in Cobb angle.

38.6%), with a highly significant odds ratio of 0.17 (95% CI: 0.11–0.28, p < 0.001) ( Table 3 ).

Their multivariate regression model revealed a highly significant and strong association: as self-assessed economic status increased, the number of untreated decayed teeth significantly decreased (β = −1.296; p < 0.001) [ 30 ].

The observed effect was greater (d = 0.76), and the results were highly significant ( p < 0.001).

The sampling adequacy was acceptable (overall KMO = 0.74; item MSAs: 0.69–0.91), and Bartlett’s test of sphericity was highly significant (χ 2 (10) = 217.66; p < 0.001), confirming sufficient inter-item correlations.

Highly significant positive correlations were observed for WGC across all environments, with correlation coefficients ranging from 0.63 to 0.91 ( p < 0.001).

The experimental group showed a significant overall change in physical scores over time ( p = 0.005), with a highly significant improvement immediately after the intervention ( p < 0.001).

The KMO measure was 0.86, and Bartlett’s test remained highly significant (χ 2 = 2847.30, p < 0.001), indicating that the data were appropriate for EFA.

The analysis revealed a highly significant correlation (x 2 = 14.22, p < 0.001), indicating that the high-risk group was strongly associated with poor clinical outcomes in patients with a history of smoking.

Using the Mann–Whitney U test, the comparison confirmed a highly significant increase in NEC severity in the NEC group relative to CTRL ( p < 0.001).

Aphid Mortality After Single Application of Non-Fermented or Fermented Botanicals and Soaps There were highly significant differences in aphid mortality between the non-fermented biorational treatments (F 8,1060 = 189.0, p < 0.001), biorational concentrations (F 5,1060 = 144.3, p < 0.001), and hours post-spray (hps) application (F 3,1060 = 107.9, p < 0.001) ( Supplementary Materials Table S1 ).

According to the cut-off value determined by ROC analysis for SII, median PFS was 5 months (95% CI, 2.94–7.06) in the low SII group and 4 months (95% CI, 2.79–5.21) in the high SII group, showing a highly significant difference ( p < 0.001).

For functional disability outcomes, the 8 min protocol demonstrated a highly significant overall advantage (LME estimate: −12.84, 95% CI: −19.36 to −6.32, p < 0.001).

Unlike the POD activity pattern where larval instar was the dominant factor, the health or infestation status had a highly significant main effect on endosperms PAL activity ( p < 0.001, F(1,16) = 277.80, η 2 = 0.68).

All examined community-level factors demonstrated highly significant associations with IMF ( p < .001).

In the case of RTAB, the intercept was not statistically significant (0.0086; SE = 0.035; p = 0.807), yet the effect of POD 1 remained highly significant (−0.0054; SE < 0.001; z = −11.72; p < 0.001), although with a smaller magnitude.

The best model for nare length included tarsus, sex, and site and had lower explanatory power (adjusted R 2 = 0.197) but was still highly significant ( p < 0.001).

Moreover, correlation analysis demonstrated a highly significant relationship between the predicted and manually annotated CA values, with a correlation coefficient of 0.98 ( p < 0.001; Supplementary Fig. 2 b).

Assessing the effect direction of the identified neonatal mortality predictors using logistic regression The top three variables most relatively important in the XGBoost model were also highly significant in traditional logistic regression (early breastfeeding, birth weight, and household size, all with p-values <0.001).

001; and β=0.02, SE 0.003) and staff (β=0.01, SE 0.001; β=0.51, SE 0.002; and β=0.05, SE 0.004) were highly significant, with all the outcomes at the significance levels of P <.001 and P <.001 respectively.