“highly significant”

The difference was also highly significant when the threshold was placed at 5% wound BSA (median 5.05 vs. 37.3 pg/mL, p < 0.0001) (Figure 2b ).

Analysis of attrition revealed a highly significant divergence, which we have termed the lethal split (x 2 = 27.252, p < 0.0001; Table 1 ): Non-diabetic attrition (n = 52): predominantly attributable to discharge against medical advice (DAMA). 94.2% (n = 49) left against medical advice, and these patients had a low baseline radiological severity (median Rx 0.0).

The results showed a highly significant difference in MOIs among the five groups (HC group and model groups at different lesion stages) ( F (4, 29) = 209.3, p < 0.0001).

The difference between controls and carriers is highly significant, P =0.0001 ( Table 1 ).

Comparison of normal mucosa, tumor-adjacent mucosa, and tumors disclosed a strong and highly significant (p < 0.0001) up-regulation of EpEX in tumors with median IHC scores of 220 versus 60 and 50 in tumor-adjacent and healthy mucosa, respectively (Fig. 1d ).

The results showed that there was a statistically highly significant difference among isolates in the percentage of mean germination (F=54.6; DF=14; P<0.0001).

Differences were considered significant at various p -values: p > 0.050 was considered non-significant, p < 0.050 (*) was significant, p < 0.010 (**) was very significant, p < 0.001 (***) was highly significant and p < 0.0001 (****) was extremely significant. 5.

The difference between the mean calcium EC50 values was highly significant, with a P < 0.0001.

A statistically highly significant difference was determined between the antimicrobial activity levels of the postbiotics produced by lactic acid bacteria (X 2 (2) = 178.472, p < 0.0001; Cramer’s V = 0.166).

Moreover, the results showed highly significant differences in color stability of the four material groups between and within the two groups (artificial saliva and CS), (p-values <0.0001).

These differences in allele distribution were statistically highly significant (χ 2 = 75.945, df = 2, p < 0.0001), which confirms a strong association between APOE allele status and disease status.

In addition, there were highly significant correlations in the immunostaining scores between these two paired sets ( r > 0.90 and p < 0.0001, for each protein).

All four models were highly significant ( p < 0.0001) with non-significant lack-of-fit tests ( p > 0.05), indicating adequate model fit.

In a subsequent study, these findings were confirmed, revealing a highly significant correlation ( p < 0.0001) between PWVinv and cfPWV when using the notch-femoral carotid-notch path length estimation.

A strong positive correlation (0.9275) was observed between PPD and MCC, which was highly significant (P< 0.0001).

Children of this age on average receive 88.9 g/day less carbohydrates (33% below the recommended level), and the one-sample Wilcoxon test reveals a highly significant deficit ( p < 0.0001).

Statistical analysis showed a highly significant influence of genotype on the magnitude of the heterosis effect ( F = 4.59; P < 0.0001; Fig. 2 ), validating this approach.

23 We found a highly significant association between thyroid disorders and gallstones ( p < 0.0001), underscoring the critical role of thyroid function in bile metabolism.

An independent samples t- test was performed which showed a highly significant difference difference in the crowding effect between the older and younger group ( t(30.92)= – 5.83, p < 0.0001, Cohen’s d=-1.94) [see Fig. 8] .

Again, seasonality had a highly significant effect on both metrics ( P < 0.0001), while the health status was non-significant ( Table 1 ).

This difference was highly significant ( P < 0.0001).

There was a highly significant correlation between plasma exposure of MIV-711 and effects on bone resorption ( p < 0.0001, Pearson correlation, r 2 = 0.71).

Performing a densitometry analysis of each lane using ImageJ [ 30 ], a Student’s t -test revealed a highly significant signal intensity reduction ( p ≤ 0.0001) in knockout cells (see Figure 2 D).

Patients who were T1 CAM-L positive showed a longer median PFS of 13 months (95% CI: 7.22–18.77) compared to 6 months in T1 CAM-L-negative patients (95% CI: 5.26–6.74), with a highly significant difference ( p < 0.0001) ( Fig. 4b ).

At the end of IFN-α therapy, 36 patients (47.4%) in 3-MU group and 103 (83.1%) had ETVR, the difference being highly significant (P < 0.0001).