“highly significant”

Statistical analysis confirmed that the tumor growth inhibition by Mn-TK and Mn-BR was highly significant ( p < 0.0001), highlighting the efficacy of these treatments.

There was a highly significant inverse effect of SSCseverity on critical COVID-19 illness ( t = −5.66, p < 0.0001).

The correlation between MMP-8 and sTREM-1 by the Spearman rank test was highly significant ( r = 0.8640, p < 0.0001; Figure 4 C).

The table demonstrates that the regression equation model for the mangiferin extraction rate response value is highly significant ( F = 32.88, p < 0.0001), while the lack-of-fit term is not significant ( F = 0.61, p > 0.05).

Beta diversity analysis reveals a highly significant difference in community membership between the breast and skin tissue microbiota, as indicated by unweighted UniFrac analysis (MiRKAT P < 1e-4, Fig. 2E ), but the difference is not significant in weighted analysis (MiRKAT P = 0.14, Fig. 2F ), indicating that the major difference lies in the rare or less abundant lineages 22 .

Chi-square was highly significant ( X 2 = 18,948.52, df = 253, p < 0.0001), indicating divergence of what was observed from the predicted model.

The analysis of variance of the response surface quadratic regression model showed that the model was highly significant ( p < 0.0001) with a high F-value of 32.31.

The study group ( Table 2 ) showed a highly significant postoperative increase in both CRP ( p < 0.0001) and IL-6 ( p = 0.0092) concentrations.

Highly significant difference ( P < 0.0001) was found between the cognitive functions of the schizophrenia group and healthy control.

Participants who rated their familiarity as “Poor” were significantly more likely to be classified as engaging in “Poor Practice” concerning off-label drug use, as indicated by a highly significant residual ( P < .0001).

Statistical testing with the Mann Whitney U test revealed that the differences in antibody levels between the HIV-uninfected and HIV-infected participants were all highly significant (P<0.0001).

The ANOVA statistical analysis revealed highly significant differences (p<0,0001) between the MDS-UPDRS Part III scores and the HY Stage-groups.

Although, there was a highly significant positive correlation between the two variables in all four stages, the correlation was not strong ( r = 0.24 ± 0.03, p < 0.0001).

Results Changes in color and surface roughness were highly significant (p < 0.0001) after brushing with activated charcoal powder and whitening toothpaste.

Correlation coefficients ( Table 4 ) among environments for disease severity were highly significant and ranged from moderate to high ( r = 0.54 to 0.90, P < 0.0001 ).

The HIV DNA over time GAMM was nonlinear, well representative of the data and highly significant (adjusted R 2 0.84, P < .0001; Figure 2 ).

The effect of sex on life span, expressed in terms of hazard ratio, was highly significant ( p < 0.0001), wherein males had longer life spans than females.

Table 4 shows that one linear (A) and two quadratic variables (A 2 and B 2 ) were significant at p < 0.001, two linear terms (B, C) were significant at p < 0.01, and one interaction (AB) was significant at p < 0.05 while one quadratic variable was highly significant at p < 0.0001.

A highly significant correlation was found between maximal strength in vertebral bodies and BMD measured either by DXA (r = 0.86) or pQCT (r = 0.85) (both p < 0.0001).

Overall, this model was robust, with epigenetic age demonstrating a highly significant ( p < 0.0001, R 2 = 0.78) positive correlation with chronological age (Fig. 1a ).

All the correlations between skeletal and dental stages were statistically highly significant at the P < 0.0001 significance level [ Table 4 ].

In contrast, the mean urinary melatonin level was significantly lower in stroke cases (7.18 ± 1.91 ng/mL) than in controls (14.26 ± 1.98 ng/mL), and this difference was very highly significant (t = 19.93, p < 0.0001).

The difference between WS individuals and TD controls is highly significant [ t (35) = 6.56, p < 0.0001, two-tailed, with an effect size Cohen’s d = 2.23].

The difference in freeze-thaw mortality rates between ancestral and evolved rates is highly significant (two-tailed t-test with unequal variances, p < 0.0001).

The Kaplan–Meier survival analysis showed a highly significant difference in OS was detected between the high- and low-risk groups (Log-rank test P < 0.0001), suggesting that the expression of these 5 genes can be effectively distinguished the high- and low-risk of these PC patients (Fig. 4 B and Fig. 5 ).