“highly significant”

42 Our study suggest that on admission higher NLR value (>5.25) is associated with higher cardiovascular or all-cause mortality in hospital, at 1 month and at 6 month and difference was highly significant ( p < 0.001).

Differences between groups of * P < 0.05 were considered statistically significant, ** P < 0.01 were considered highly significant. *** P < 0.001 were considered very highly significant.

= 1, p = 0.035), but highly significant in 2008 (Pearson's χ 2 = 14.67, d.f. = 1, p < 0.001).

One-way ANOVA followed by Tukey HSD post-hoc tests confirmed highly significant differences (p < 0.001) in all metabolic markers across clusters ( Figures 2D–J ).

This is confirmed by their “P-value for effect,” which is less than 0.05 for both markers and is particularly low for CK, indicating a highly significant effect ( p < 0.001).

The model fit was highly significant (F(1,18) = 47.4 p < 0.001), it explained 70.9% of the variance in SoilLoss, with a residual mean square of 0.6732.

A two-way nested ANOSIM revealed a highly significant but small (low R value) difference between sites within a cove (global R = 0.25 P < 0.001).

All predictors in both models were highly significant ( p < 0.001).

During the study period, statistically highly significant ( p < 0.001***) increasing trends were found for examinations, anaesthesia and the total number of treatment measures, and a significant ( p < 0.001***) decreasing trend in restorative treatment were found for all the young.

For ambition in play, there was a highly significant increase in the odds for “high” (OR = 13.45, 95% CI: 5.41–33.42, p < 0.001), while “very high” showed no difference from the reference (OR = 0.98, p = 0.952).

Results In the reliability study, TIMP scores showed highly significant correlation with the Bayley physical developmental index (BPDI) (p=0.001) and Bayley mental developmental index (BMDI) (p=0.017).

The model constructed for the RDA was highly significant ( P -value = 0.001) and explained about 2.3% of the genetic variation.

The regression results show highly significant coefficients for both variables (β = 0.267, p < 0.001; β = 0.253, p < 0.001), indicating that birth cohort exerts a substantial influence on the returns to higher education.

A probability value of * P < 0.05 was considered as significant, ** P < 0.01 was considered as highly significant and *** P < 0.001 was considered very highly significant. 3.

However, inoculation remained highly significant ( p < 0.001), with increases of 40.8%, 77.3%, 108.6%, and 171.8% at 5–12.5 g, respectively.

For the absolute peak area values, the treatment was highly significant (PERMANOVA; pseudo- F = 30.019, p = 0.001), with a component of variation of 4.6922 (square root = 2.1662) and a clear separation between the treatment groups along PCO1, which explained 77.3% of the total variation ( Figure A).

Salinity accounted for the largest proportion of variance, with a sum of squares of 8750, representing 36.8% of the total variation, and exerted a highly significant effect on plant growth (F = 95.4, df = 1,93, p < 0.001).

The unidimensional structure of ESSI displayed a highly significant Satorra–Bentler scaled chi-square ( S-B χ2 = 119.15; df = 9 p < 0.001) and a value of RMSEA greater than 0.05 (0.101, 90% CI = 0.850–0.117), although other fit indices (CFI = 0.961, SRMR = 0.026) indicated approximation to adequacy of the model fit.

Statistically significant changes were classified as significant ( ∗ ) where p < 0.05, more significant ( ∗∗ ) where p < 0.01, and highly significant ( ∗∗∗ ) where p < 0.001 as compared with control group. 3.

Notably, for both readers, each category revealed a highly significant difference ( p < 0.001) between the three MRI modalities using the Friedman test in axial and coronal slice orientation.

The result showed a highly significant interaction between eye and session ( F (1,14) = 18.33, p < 0.001, η p 2 = 0.567), which strongly supports an eye-specific deprivation effect in the LGN.

Conversely, the subcategory policy GLM indicates that incentive policies applicable to only government entities exhibit a highly significant ( p -value = 0.001) but negative correlation (coefficient estimate = −1.2722) with per capita biodiesel consumption, indicating that government focused incentive policies are associated with decreases in per capita biodiesel consumption.

There was a highly significant main effect of Orientation (upright: M = 0.65 μV, s.d. = 0.10 μV; inverted: M = 0.13 μV, s.d. = 0.04 μV; F 1,15 = 20.60, p < 0.001), reflecting a large response reduction for the inverted faces, by a factor of 5.

Results of hierarchical logistic regression Block 1 of the hierarchical logistic regression was highly significant, χ 2 (1) = 13.48, P < 0.001), showed depression was significantly associated with sexual satisfaction without controlling for any potential confounders.

However, a small but highly significant reduction was observed in arc− neurons (8.0 ± 0.7 before KN93 to 7.4 ± 10.7 pA after KN93 [ n = 6], P = 0.001; n = 4 mice).