Excerpts

The differences in GPH and GMH by childhood smoking status were both highly significant (p<0.0001) by the Kruskal-Wallis and Man Whitney U post hoc tests.

Both platform and nozzle temperatures were highly significant ( p < 0.0001), and multiple interaction terms (X 1 X 2 , X 1 X 3 ) were significant, demonstrating a non-linear coupling between thermal boundary conditions and dose accuracy.

The ANOVA results confirm that the model was highly significant, with F = 811.92 and p < 0.0001.

The duration of outdoor exposure had a highly significant effect on the amount of moisture lost by both hydrogel types (ANOVA, df = 14, F = 123.2, P < 0.0001).

cultivated classes assuming unequal variances was still highly significant ( t = 7.6, DF = 39.7, P < 0.0001).

Tumor-to-blood ratios increased significantly over time for both tracers; however, [ 52 Mn]Mn-BPPA-bevacizumab demonstrated significantly higher ratios from day 2 onward, with the difference becoming highly significant at days 3, 5, 7, and 10 ( p < 0.0001).

as shown in Figure 8A , high risk score group revealed a highly significant difference in worse prognosis ( P < 0.0001).

Co-infection analysis showed a highly significant association with HIV (p<0.0001, OR=26.32, 95% CI: 20.22-34.28).

Using a parametric Poisson model to analyse these data demonstrates a highly significant difference between the two groups ( P =0.0001).

A similar pattern was observed at 4 Gy, where an acute increase occurred at 4 h, followed by a highly significant peak at 24 h ( P < 0.0001) and a substantial reduction by 48 h.

For OC125, M11-like, and OC125-like, the differences between binding and non-binding were highly significant, with p < 0.0001 at 95% confidence. 3.3.

Results A highly significant, positive correlation was found between lower death rates and a country's proximity to the equator (Pearson r = 0.40 P < .0001, 2-tailed t test).

Because the hand was travelling in a predominantly rightwards direction at cue onset (with the average speed in that direction 760% greater than upwards, and 490% greater than forwards), we expect the errors to be most prominent in azimuth angle ( Figure 1 B) For stimulation over the cerebellum, the 5.13° (±0.48° SEM) difference in azimuth was highly significant ( Figure 4 A, one-sample t -test, t (32)=10.58, p < 0.0001).

Principal Curve scores show a positive relationship with chlorophyll a (representing the biomass of primary producers) ( edf = 2.8, P value < 0.0001) but negative with fucoxanthin, which is a proxy of diatoms, dinoflagellates, and chrysophytes ( edf = 4.03, P value < 0.0001), whereas in another model, the scores and alloxanthin, which is a proxy of cryptophytes, display a positive trend ( efd = 3.63, P value < 0.0001; Fig. 6 ).

We found a highly significant elevation in QTd among patients with AWMI compared to other MI types (98.96 ± 2.95 ms vs. 85.08 ± 17.02 ms; p < 0.0001)​.

Two-way ANOVA confirmed that both aging conditions and application mode exerted highly significant effects on μTBS ( p < 0.0001).

The chi-square test of likelihood ratio was highly significant (χ2 = 782.15, p < 0.0001), indicating the model’s overall fitness.

Similarly, the model for DPPH IC 50 was highly significant (F = 134.20, p < 0.0001), indicating that the mixture composition strongly influenced antioxidant activity.

For ABTS assay results, the extraction method, plant type, and their interaction were all highly significant for ABTS (all p < 0.0001).

Correlation between self-reported evaluation score and a computed symptoms score A moderate correlation was found between the self-reported evaluation score (on a scale 0-10) and a computed symptoms score (by adding up all the symptoms a patient presents), by using Spearman's rho (0.584), which was extremely significant (P<0.0001), indicating an accurate correlation between the patients' estimate of disease severity and the number of symptoms ( Fig. 4 ).

Multivariate analysis of variance of rank-normalised FFQ data indicated a highly significant difference (p<0.0001) between classification groups.

The DSMB recommended to stop the trial enrolment on the basis of: (i) clear benefit in the primary endpoint in the ‘stratified treatment’ arm (observed difference in SAQSS between groups was highly significant [ t = 7.25, P < .0001], with the corresponding Z -score [6.42] exceeding the O’Brien–Fleming boundary [Z = 2.74], confirming the robustness of the result and a low risk of false-positive conclusion due to interim testing); (ii) a numerically higher rate of MACE in the ‘standard of care’ arm; (iii)

The data indicate that the regression model is highly significant ( p < 0.0001), with a non-significant lack-of-fit term ( P = 0.9490 > 0.05), demonstrating a good fit and low experimental error.

Specifically, in Model III, the HRs increased to 1.33 (95% CI: 1.05–1.68) for Q2, 1.40 (95% CI: 1.11–1.77) for Q3, and 1.63 (95% CI: 1.28–2.06) for Q4 (all p < 0.01), with a significant trend ( p < 0.0001).

Methylation discrepancies (MF GAmCGC -MF GmCGCT’ ) were calculated in seven out of eight isolates were highly significant ( p -values < 0.0001).