Excerpts

Survival analysis revealed highly significant differences between high-risk and low-risk groups (p < 0.0001) (Fig. 5 A), with ROC curve values at multiple time points exceeding 0.7 (Fig. 5 D).

Statistical analysis using the Student’s t -test for related samples showed a highly significant difference between pre- and post-test scores ( p < 0.0001), indicating a strong effect of the intervention on stress reduction.

Three blinded readers consistently demonstrated highly significant ( P < 0.0001) preference for MultiHance for all qualitative end points with good inter-reader agreement for all evaluations.

Statistical significance is indicated in the figures by asterisks, using the following standard notation: * for p ≤ 0.05 (significant), ** for p ≤ 0.01 (very significant), *** for p ≤ 0.001 (highly significant), and **** for p ≤ 0.0001 (extremely significant).

The reduction in both the prevalence of infestation and the mean mite abundance across these time points was highly significant (Cochran's Q test, p < 0.0001; Friedman test, p < 0.0001).

Geeglm revealed that the negative effect of mother deprivation on the number of successfully reared embryos per spawning was highly significant (anova: df = 1, χ 2 = 387.7, P < 0.0001).

Although only one score fell to 0, the difference between pre- and treated tumour was highly significant ( P <0.0001 by paired Wilcoxon test).

If a multimodal approach is adopted using the ratio of EZ and hyperAF rates, a highly significant relationship is seen ( r 2 = 0.44, P < 0.0001) ( Fig. 3C ).

NOSE Scale score The overall visit effect was highly significant in the analysis model ( F = 53.4, p < 0.0001).

The resulting LV was highly significant ( p < .0001, all conditions contributing, Fig. 4 B, see Table S6 for all relevant brain regions and their MNI coordinates).

Importantly, the number of live/dead cells generated over both assays was different (Figure 2a ; top corner ANOVA, n = 15, p = 0.0001) showing highly significant difference at day 6 with a mean 8‐fold more live cells generated in TD but only 1.6‐fold in TI ( n = 15, p = 0.0001).

The difference in the two-sample test was highly significant ( P = 0.0001).

We also found highly significant differences in CD8, CD4 and CD3 staining in tumors between TIL growers and non-growers (p<0.0001).

Results The random effect on our logistic regression model was highly significant ( p < 0.0001), suggesting that subjects varied in their musicality ratings of original order vs. temporally randomized songs of this sample of avian species.

Moreover, there was a clear trend of increasing frailty risk with worsening sarcopenia severity, as indicated by the trend test ( p -value for trend: p < 0.0001).

Importantly, when we analysed half-life across all infections (treated and untreated), there was a highly significant interaction between the effect of drug treatment and parasite genotype ( = 9.10, P < 0.0001; compare Fig. 2 B,C; Table S1.5 ), as well as significant negative correlations with pre-peak growth rate and parasite density at peak (which were independent of differences between parasite lines) (intrinsic growth rate = 4.15, P = 0.049; density at peak = 9.48, P < 0.005; Table S1.5 ).

Inclusion of pre hypertensive group to hypertensive proportion gives an extremely significant difference between males and females (p<0.0001); RR=1.800 [95%CI 1.407:2.303], RD=0.5250 [95%CI 0.4445:0.6039].

This association was statistically highly significant for both HVPG and PSG ( P < 0.0001).

A highly significant reduction of alkaline phosphatase levels also was observed after GFT505 treatment (effect size: −19.3%; P < 0.0001) ( Table 2 ).

By multivariate linear regression both age and creatinine clearance were highly significant predictors of NT-proBNP levels (P < 0.0001), while hematocrit was of borderline significance (P = 0.06).

The cumulative analysis of all sites demonstrates that vaccination resulted in a highly significant reduction of the frequency of positive rated animals in the vaccinated group (59 out of 439, 13.4%) compared to the unvaccinated group (88 out of 270, 32.6%; p < 0.0001).

However, the production of xylanase mainly depends on the moisture level, as the quadratic and linear effects of this factor were highly significant ( p < 0.0001), confirming the single-factor experiment results ( Table 2 ) and the influence in the metabolic rate of the interaction between these two parameters.

PB) is highly significant ( χ 2 (1) = 96.01, p < 0.0001; effect size, r = 1.789).

Statistical analysis revealed highly significant differences between the control and diabetic groups ( p = 0.0001) and between the control and diabetic nephropathy groups ( p < 0.0001).

The difference between the groups was highly significant ( P < 0.0001), reinforcing LDAR as a robust prognostic biomarker for ICU mortality in septic patients with malignancies.