This model showed a better fit, with a higher explained variance, R 2 = 0.3139, and a highly significant global F test, F(3,76) = 11.59, p < 0.0001.
Excerpts
The difference was highly significant ( p < 0.0001), exceeding the trial’s efficacy threshold.
From July 2020 to December 2021, the average time from last data collected to publication was 8.9 ± 4.1 months, with an increasing trend over time ( R = 0.9444, p < 0.0001).
Splenocytes from mice vaccinated intravenously with RALA/ mGPC2 produced highly significant levels of antigen-specific IFN-γ (107.1 SFU/250,000 cells ±18.65; p < 0.0001) and IL-2 (100.6 SFU/250,000 cells ±22.61; p < 0.001).
The correlations between the number of publications and the GDP in 1000 bn US-Dollars is highly significant (Pearson p < 0.0001).
This difference was statistically highly significant (χ 2 = 162.8681, df = 3, P < 0.0001).
These gradients were highly significant ( P < 0.0001), independent of malignancy and robust to neighbourhoods of diverse radii (Extended Data Fig. 3g,h ).
When PLT count bias between Sysmex PLT‐I and PLT‐F was plotted against MCV, a highly significant inverse relationship was demonstrated ( p < 0.0001), showing that low MCV (microcytosis) strongly correlates with the overestimation of PLT count by the impedance method (Figure 2 ).
5 a); isolating the impact of EIT-guided PEEP from potential confounders by excluding studies with recruitment maneuver before PEEP trials still showed a positive trend (MD = 3.85, 95% CI [1.95, 5.75], P < 0.0001, and I 2 = 0%), thereby reinforcing the direct impact of EIT-guided PEEP on lung compliance (Fig. 5 b); and removing studies with significant positive treatment effects revealed that the overall positive trend was not driven solely by a few outlier studies, as the impact on lung compliance remained consistently positive and statistically significant (MD = 2.86, 95% CI [0.95, 4.78], P = 0.003, and I 2 = 0%) (Fig. 5 c).
demonstrated highly significant association ( p value = 0.0001) between elevated serum Gal-3 levels and the presence of both macro- and microalbuminuria.
The log-rank (Mantel-Cox) test revealed highly significant differences between survival curves (χ2 = 86.49, df = 4, p < 0.0001), indicating that survival probability strongly depended on age at the time of infection.
At 72 h, a highly significant reduction in cell viability ( p ≤ 0.0001) for both RIPs was already evident at 10 −9 M.
K‒M curves for the two risk groups revealed that the survival of patients with MM was markedly significant ( P < 0.0001) (Fig. 4 e).
All subjects lost ≥3.0 kg total body weight, with an average reduction in BMI of −1.14 kg/m 2 which was highly significant (one sample t ‐test, p ≤ 0.0001).
The random effects for feed and COM, the zero inflation parameter, and the square root concentration effect were all highly significant (p<0.0001).
Conversely, as found for bottlenose dolphins ( Williams et al., 2017b ), there were highly significant relationships between V̇ O 2 ss (J kg −1 min −1 ) and f S (strokes min −1 ) ( n =30 swims, d.f.=1, 28, F =25.53, P <0.0001, AICc=304.28, BIC=308.29; Fig. 4A ) for beluga whales, where: (1) and between V̇ O 2 ss (J kg −1 min −1 ) and swim speed ( U swim , m s −1 ) ( n= 30 swims, d.f.=1, 28, F =54.93, P <0.0001, AICc=288.48, BIC=291.76; Fig. 4B ), where: (2) even within the relatively narrow range of exercise efforts representing the preferred performance levels of the individual whales.
IgG-S(RBD) were detectable after the first vaccine dose in 49/50 (98%) naïve recipients but with very low titers that were boosted by the second vaccine dose resulting in a highly significant increase ( p < 0.0001) (Fig. 1d and Table 2 ).
However, these percentages are 10-fold higher than in healthy donors ones (0.02%) with highly significant p values of < 0.0001 for CD4 and p=0.0002 for CD8+ T cells, emphasizing the robustness of our results at this very early stage of viral infection.
An unpaired t-test revealed a highly significant difference in TL between the two groups ( t 31 = 6.83, p <0.0001, Figs. 1 and 2 ).
All correlations were highly significant (p<0.0001).
Consequently, comparing cases with the G/G genotype to controls with the G/G genotype, there was a highly significant difference between the two groups in terms of the mean TAS value: 0.049 (p<0.0001).
The quadratic equation generated from the models ( Figure 2 ) is the following Equation (2): (2) Rupture strength = −71.72 + 19.14A + 15.99B + 3381.93C + 4.78D − 0.43AB + 136.21AC − 0.29AD − 460.12BC + 0.88BD − 79.31CD − 4.30A2 − 32560.72C2 − 0.22D2 − 3.43B2 The compressive strength response surface model was highly significant (F = 22.36, p < 0.0001, Table S3 ), accounting for 91.16% of the total variation ( R 2 = 0.9116, adjusted R 2 = 0.9116, predicted R 2 = 0.834) with a non-significant lack-of-fit ( p = 0.683), confirming the model reliability.
Second Study Rooting success was associated with a highly significant interaction between rooting environment and hormone treatment (F 8,15 = 137.93; p < 0.0001), with the model explaining 99.3% of the observed variance (R 2 = 0.99).
Mean pain score was 3.14+1.19 in plastibell device group and 5.18+1.22 in bone cutter method and this difference was statistically highly significant (p-value <0.0001).
While the baseline value was consistently a highly significant factor ( p < 0.0001), the interaction between time and group remained non-significant for all outcomes ( p > 0.3).