Excerpts

Including these random effects in the model resulted in a highly significant increase in the log likelihood ( p < 0.001).

On the other hand, plasma volumes and whole blood volumes were greatly increased in patients with splenomegaly and t these increases were highly significant on t-testing compared with the normal values (P < 0.001 in both) and there was a highly significant correlation with the degree of splenic enlargement (r = +0.7847, and +0.8278 respectively, P< 0.001 for both) (Table 1, Figs 1 and 2).

The statistical analysis revealed a highly significant effect of treatment on mean log reduction (F(8, 235.22) = 1565.49; p < 0.001), with a large effect size (η 2 = 0.85) ( Figure 2 ).

The mean increase of +4.29 points was highly significant (t = 14.11, p < 0.001), with a very large effect size (d = 2.82).

The root rot phenotype had a highly significant ( p < 0.001) correlation with leaf wilting ( r = 0.826) and plant mortality ( r = 0.982).

Significance thresholds were defined as follows: P > 0.05 (not significant, ns); P ≤ 0.05 (significant, *); P ≤ 0.01 (highly significant, **); P ≤ 0.001 (very significant, ***); and P ≤ 0.0001 (extremely significant, ****).

Most authors refer to statistically significant as P < 0.05 and statistically highly significant as P < 0.001.

There was a highly significant correlation between BMI and fat mass, measured by DEXA (r = 0.85; p<0.001).

After post-hoc testing, the following significance levels were specified: extremely significant ( p < 0.001; ***/+++/###, very significant ( p < 0.01; **/++/##), significant ( p < 0.05; */+/#), and not significant ( p > 0.05).

Thus, there is a highly significant overall negative relationship between news domain quality and engagement (b = −0.011, SE = 0.002, t = −4.712, P < 0.001 without controlling for political lean; b = −0.013, SE = 0.003, t = −4.373, P < 0.001 controlling for political lean); and heterogeneity across platforms is not statistically significant (test for heterogeneity: Q(6) = 12.922, P = 0.044 without controlling for quality; Q(6) = 9.828, P = 0.132 controlling for quality—to the extent that heterogeneity exists, it is quantitative rather than qualitative).

Fusion outcomes Regarding bone fusion, a highly significant overall difference was found among the groups ( P < 0.001).

An initial analyses of variance for repeated measures showed a highly significant effect of hours of insect herbivory (P < 0.001), and also a highly significant interaction between hours of insect herbivory and plant treatment (P = 0.001).

We found a highly significant correlation between the SOFA score and presepsin ( r = 0.883, 95% confident interval CI = 0.834–0.918, p < 0.001).

However, the diabetic group demonstrated a highly significant association (p < 0.001), with PDI Class III being the most prevalent classification.

There are significant differences between RC and the other groups ( p < 0.05 or p < 0.01), with extremely significant differences between RC and BP ( p < 0.001), whereas no significant difference is observed between BP and ML ( p > 0.05).

In this sense, differences were considered as non-significant (NS) when p > 0.05, significant (*) when p < 0.05, very significant (**) when p < 0.01, and highly significant (***) when p < 0.001.

Correlation analysis revealed a highly significant inverse association between PAT and BP changes for all time periods combined (SBP: r = −0.45, P < .001; DBP: r = −0.25, P = .003; N = 138; for risers and decliners only: SBP: r = −0.48, P < .001; DBP: r = −0.28, P = .004; N = 99/106).

Human Cytokine Array Human cytokine array assessment showed intensity of anti-inflammatory cytokines TGF-β1, and IL-4 were highly significant among the analyzed groups (F = 64.456, p = 0.001) and (F = 20.426, p = 0.007), respectively ( Figure 7 and Figure 8 ).

Both factors and their interactions were highly significant (time window: F = 39.77, p <0.001; PLV measure: F = 50.11, p <0.001; interaction: F = 14.86, p <0.001).

Despite this functional importance, in our study, age emerged as a highly significant independent predictor of HCC in the fully adjusted multivariable logistic regression model (OR: 1.10, 95% CI: 1.07–1.13, p < 0.001).

juveniles, while differences between juveniles and adults were marginally non-significant (Tukey test; p < 0.001, p = 0.005 and p = 0.068 respectively).

Likewise, the adjusted risk of death without prior ICD therapy was significantly higher in the low-ANSS group, and higher, albeit borderline significant, in the intermediate-ANSS group compared with the high-ANSS group (HR: 2.29; p = 0.001, and HR: 1.58; p = 0.06, respectively) ( Table 3 ). 3.5.

A two-way repeated-measures ANOVA revealed significant main effects of the factors “F2 electrode” (F(2,12) = 11.1, p = 0.002) and “F2 on same or different electrode to F1” (F(1,6) = 29.7, p = 0.002) and, importantly, a highly significant interaction (F(2,12) = 24,2, p = 0.001).

The difference between the two groups was highly significant (p <0.001) in questions related to the availability of different ADR forms (98% and 78.8%) and the meaning of the term “pharmacovigilance” (87.7% and 66.3%).

The interaction between the ‘expertise’ and ‘session’ factors for sensor S7 is highly significant with F(1, 2880) = 188.53; p < 0.001.