“highly significant”

One-way analysis of variance including healthy controls (Data Set 1) and patients with liver fibrosis (F1–F4) revealed a highly significant difference in spleen volume across the five groups ( p < 0.001).

In the depression model for females, age and income were found to be highly significant (p < 0.001).

Mean maxillary arch length, arch circumference and inter-canine and inter-molar width in males as well as females was reduced as compared to the control group and this difference was statistically highly significant ( P <0.001) [ Table 4 ].

The F statistic for the goodness-of-fit of the estimated regression model was highly significant at 22.76 ( P <0.001) , with an explanatory power (adjusted R 2 ) of 34%.

In both depots the presence of rhythm was highly significant ( P <0.001) ( Table 1 ).

Across-environment ANOVA showed highly significant differences ( P < 0.001) for environments, genotypes, and genotype × environment interaction (GE) for all traits studied.

The effect size in the pooled analysis of balanced studies (ie, studies in which major clinical indicators are similarly distributed between arms) was 1.417 (95% CI 1.171-1.715), and the P value was highly significant at P <.001.

In conclusion, this systematic review and meta-analysis demonstrates, through two different models, a highly significant ( p < 0.001) benefit of pinaverium treatment over placebo in relieving/resolving symptoms in patients with IBS.

The overall model was highly significant (F model = 64.18, p < 0.001), indicating a strong fit.

This difference was highly significant ( p <0.001).

Significance levels were defined as follows: p > 0.05, not significant (ns); p < 0.05, significant (* ); p < 0.01 , highly significant (**); p < 0.001 , very highly significant (*** ). 5 discs were used for the quantification of each genotype.

Overall batch effects were highly significant (p<0.001) for most traits, and were generally more significant than the gender or genetic type effects.

uJVP exhibited a robust, highly significant positive correlation with invasively measured RAP (ρ = 0.67, P < 0.001).

The ordinal regression model demonstrated excellent global fit, as evidenced by a highly significant likelihood ratio test [χ2 = 277, p < 0.001], confirming the collective explanatory power of all predictors.

The relationship between urban soil OC density (beneath both impervious surfaces and greenspace) and depth was described by a highly significant negative exponential function ( R 2 = 57%, F (1, 184) = 243.8, p <0.001, y = 51.910(±2.492 S.E.)e −0.0232 (± 0.002 S.E.)× ) ( Fig. 1 ).

Significance levels were reported as p <.05: statistically significant (*), p <.01: highly significant (**), and p <.001: very highly significant (***).

Kaplan–Meier curves showed that survival differences across the three clusters were highly significant (log rank p < 0.001) ( Figure 4(A) ).

Further analysis with Spearman's correlation revealed a highly significant moderate negative correlation between AOR and language outcome (Spearman rho = −0.435, n = 52, p = 0.001; Fig 1B ).

In Group A (SE ≥ -3.00D, 15 eyes), the difference was significant ( P = 0.0018), while in Group B (SE < -3.00D, 27 eyes), the difference was highly significant ( P < 0.001).

As shown in Table 2 , Attitude emerges as a crucial determinant, exhibiting a strong and highly significant positive effect (standardized β= 0.710, standard error [SE] = 0.048; t = 7.008, P < .001).

The difference between pre and post-test was highly significant at t (7) = -5. 68, p <.001.

One way ANOVA test showed highly significant alteration within different groups in Shear bond strength with a p-value < 0.001 (Table 3 - see PDF).

Only highly significant correlations ( p <0.001) were considered for this analysis.

We did in fact note a highly significant inverse correlation ( Fig. 6D , Rho = −0.29, P <0.001).

By comparing these observed values with what would be expected if there were no differences between the standards, the test revealed a highly significant result (p < 0.001).