“highly significant”

There was a highly significant increase in heart rate (p ≤ 0.001) during the first 10 minutes in the drug-free passive phase of tilt without substantial change in the systolic and diastolic blood pressure, qualifying for POTS and mean the difference in heart rate was ≈34 beats per minute.

As the correlation between pull-out force and pull-out force per area was found to be highly significant and very strong (Pearson’s correlation coefficient R = 0.970, p < 0.001), pull-out force was used as the only biomechanical parameter for the remaining animals. 2.6.

Results: Proton pump inhibitor usage in the case group was significantly higher compared to controls (63.63% vs 24.78%, P < 0.001), and differences in Hiatus Hernia and Stress levels were highly significant between the two groups ( P < 0.001).

The results of the 2 (age) × 4 (GA groups) repeated measures ANOVA performed on the results obtained in the BDI at 22 and 60 months of age indicate that there was a highly significant effect of age (intra-subjects differences) on cognitive development (F(1)= 5315.463, p < 0.001, η2 = 0.975).

The change was statistically highly significant ( p < 0.001) in four parameters: activities of daily living (ADL, UPDRS II), motor score (UPDRS III), dyskinesias (UPDRS IVa), and fluctuations (UPDRS IVb).

The DFHM-workload index gave stable results with highly significant correlations between scenarios with similar traffic-load conditions ( r between 0.671 and 0.809, p ≤ 0.001).

The highly significant Group × Time interaction (p < 0.001) indicates divergent improvement trajectories favoring the intervention group.

The NRI was highly significant with a magnitude of 0.178 (95% CI, 0.084–0.271; p < 0.001), and the IDI was also highly significant (0.004; 95% CI, 0.001–0.007; p = 0.010).

The different dimension of the PtGA severity compared to the PtGA impact was, however, confirmed by a paired analysis showing a highly significant difference ( P < 0.001).

For the apoptotic biomarkers, there was highly significant increase in the values of caspase 3 and 9 activities ( p < 0.001) in OP cases before and after treatment when compared with the control group.

The improved C max with area under curve (AUC) 0–24 was found to be highly significant ( p < 0.001) in Wistar rats’ brain as compared with the i.n. and i.v. treated group based on the pharmacokinetics (PK) results.

For instance, with very large studies, an OR of 1.12 (barely more than 1.0) can be shown to be very highly significant statistically ( P = 0.001), whereas in a small- n study, an OR of even 5.0 may not achieve statistical significance.

This is supported by the ANOVA results, where the regression is highly significant ( p < 0.001) and the lack-of-fit test is not significant ( p = 0.170), confirming that the model adequately describes the experimental data.

All pairwise comparisons were highly significant ( p < 0.001) except that between specialist physician and HD ( p > 0.99).

Those treated in the ICU (mean = 3.36, SD = 1.64) scored lower on the Ordinal Clinical Progression Scale than those who were not (mean = 3.65, SD = 1.55) and the difference was highly significant (t = -1.790, p < 0.001).

A highly significant association was observed between anxiety status and perceived inadequacy of staff anxiety management (χ 2 = 22.406, p < 0.001).

Furthermore, quantitation of neutralizing potency revealed that a highly significant difference ( p < 0.001) was observed between the p E2-fe/Gel02 cohort (1:32, equivalent to live-attenuated strain C at 1:32) and the p E2/Gel02 cohort (1:4) at 21 dpi.

Two-way ANOVA revealed a highly significant main effect of stimulation frequency on the AP peak for both glutamatergic ( F (2, 42) = 30.40, p < 0.001, η p 2 = 0.59 ) and GABAergic neurons ( F (2, 42) = 49.25, p < 0.001, η p 2 = 0.70 ), demonstrating a frequency-dependent increase.

The AUD group showed a predominant pattern of hyperconnectivity among all significant connections (25 of 29 connections, p < 0.05) ( Figure 5 , panels a–e) as well as among 12 highly significant connections (11 of 12 connections, p ≤ 0.001) ( Figure 6 ), where parahippocampal connections with other DMN regions were predominant (13 connections overall; six highly significant connections).

Statistical analysis The data were analyzed with SPSS for Windows (version 18, SPSS Inc, Chicago, IL, USA) and expressed as the means±standard deviations (SD).The significant thresholds were: P < 0.05 was considered significant, P < 0.01 was considered highly significant, P < 0.001 was considered very highly significant, while P < 0.0001 was considered extremely significant.

ANOVA of all the traits indicated highly significant genotype effects ( p < 0.001) and environmental (replicate) effects ( p < 0.001) ( Table 1 ).

The t -test with bootstrapping shows that the deviations within the Prishtina sample ( n = 300) are highly significant for the comparison statements ( M = 4.13 to 4.36; t = 19.5 to 26.1; p ≤ 0.001; Table 3 ).

When compared with the PC method, SM‐FC showed a highly significant improvement in Sim2, Sim3, and Sim4 (with increasing node numbers) ( p < 0.001 ), and also demonstrated significant superiority in Sim7 (which included lower quality ROIs) ( p < 0.01 ).

Importantly, random‐effects meta‐analysis of correlation coefficients demonstrated a strong and highly significant pooled inverse association between Bdnf and Ccl2 expression (overall effect size = −0.82, 95% CI −0.89 to −0.69; Z = −7.62, p < 0.001) (Figure 4B ).

The hematologic recovery (following withdrawal of rEPO) with and without immunosuppressive therapy was highly significant (57% vs. 2%, respectively, P < 0.001), and nearly 95% had complete recovery following renal transplantation ( n = 19 cases).