“highly significant”

The quadratic terms (A2, B2, and C2) were all highly significant ( p < 0.0001), affirming the nonlinear behavior of the system.

Quantitative analysis confirmed that TGF-β1 alone did not significantly alter VCAM-1 expression compared with control (Dunnett’s test: mean difference = −1.12, 95% CI −3.85 to 1.61, p = 0.42), whereas TNF-α treatment resulted in a highly significant increase in VCAM-1 fluorescence intensity (mean difference = −22.24, 95% CI −24.57 to −19.90, p < 0.0001).

Good overall model fit was confirmed by a Hosmer–Lemeshow statistic of 7.175 ( p > 0.05), and a highly significant likelihood ratio test (Wald χ 2 = 51.467, df = 7, p < 0.0001).

The forest plot displayed the overall pooled prevalence of 0.01 (95% CI: 0.01-0.02), with a highly significant test for overall effect (z = 28.15, p < 0.0001).

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).

A highly significant correlation of eGFR with serum creatinine ( r = −0.677), serum urea ( r = −0.581), and serum potassium ( r = −0.2284) was found (all P < 0.0001).

The eigenvalues showed that LD1 was highly significant (F 75,28 = 5.62; P<0.0001), while LD2 was marginally non-significant (F 48,20 = 1.88; P = 0.062) and LD3 was not significant (F 23,11 = 1.37; p = 0.3).

One-way ANOVA demonstrated a highly significant effect of incubation time on biofilm formation ( p < 0.0001, R 2 = 0.966).

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

However, the separation of the survival curves was highly significant (log-rank P < 0.0001), confirming the preventive effect of the intervention over time.

The results demonstrated highly significant differences (p < 0.0001) in a log-rank test.

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).

Endpoint fluorescence quantification confirmed highly significant signals at concentrations of 10 6 to 10 3 copies/μL ( p < 0.0001) and statistically significant increases at 10 2 to 10 1 copies/μL compared with controls ( p < 0.01) (Fig. 5 G).

Furthermore, 2.40 MBq 90 Y-DOTA-DAB4 given 24 hours after chemotherapy produced a highly significant extension of MST to 61 days ( P <0.0001 versus control, and P <0.001 versus any other treatment including 2.40 MBq 90 Y-DOTA-7E11 given 24 hours after chemotherapy; Figure 6B ).

This regression was highly significant (standardized beta=0.49±0.002, t=35.25, P <0.0001, R 2 =0.34; linear regression).

For the BRR model using the whole marker dataset, for example, plant height and plant width GEBVs demonstrated highly significant correlation coefficient ( r = 0.77; P < 0.0001) (Fig. 1 ).

Correlations and Interactions Between Variables IgM anti-MDA-LDL antibody levels correlated strongly with total serum IgM (rho = 0.78, p < 0.0001), and there was a weaker but still highly significant correlation for IgG anti-MDA-LDL with total serum IgG (rho = 0.36, p < 0.0001) ( Table 3 ).

The mean difference between the two groups was 202 g, which a paired t -test confirmed to be statistically highly significant ( p < 0.0001) ( Figure 3 ).

A repeated measures ANOVA of attractiveness ratings for covered, partially covered, and uncovered displays with a Greenhouse-Geisser correction showed a highly significant main effect, F (1.27, 75.04) = 23.99, p < .0001, η p 2 = .29.

For SCO the total number of patches (average of 24.6 patches +/- 0.770) was found to be highly significant increased (p < 0.0001) compared to NSP (17.7 +/- 0.465), ( Fig 4A ).

ANOVA results demonstrated a highly significant influence of initial toluene concentration on photocatalytic performance ( F (3, 8) = 109.5, p < 0.0001), confirming that degradation efficiency decreased significantly with increasing pollutant concentration.

Differences were statistically significant when p < 0.05 (*) (#), and highly significant when p < 0.0001 (**) (##), versus each respective mock control or untreated control group. 3.

Regarding education attainment, there was a highly significant difference ( p < 0.0001) in the highest degree obtained between PT and SP, detailed further in Table 1 .

The fitted regression was highly significant (Model p < 0.0001; R2 = 0.9025; F = 40.1) and the lack-of-fit was non-significant ( p = 0.2151), confirming that the model explains solubility well within the studied domain.

The statistical significance of the OPLS–DA model was further confirmed by CV‐ANOVA, which indicated a highly significant separation between treatments ( F = 50.60, p = 1.0 × 10 −4 ), supporting that the observed discrimination was unlikely to result from model overfitting.