“highly significant”

This robust superiority of binocular viewing was also found to be highly significant (p < 0.001) by 2-way ANOVA with eyes (Binocular/Poor) and presentation time [ms] (60,120,240,320,480) (Table 2 ).

Similarly, patients with TT genotype of rs2856973:T > A had higher CD4 + T cell counts statistically highly significant in the 3rd month ( p = 0.001).

A Procrustes test comparing the NMDS plots of composition and function at the end of the experiment recovers a strong and highly significant correlation: 0.8991, p = 0.001 (Fig. 4c ).

Data were statistically analysed following ANOVA (analysis of variance) with differences considered very significant ( p < 0.01, **), highly significant for ( p < 0.001, ***), or very highly significant ( p < 0.0001, ****).

However, t tests comparing OCD and controls for these ROIs when adjusting degrees of freedom using Satterthwaite's approximation remained highly significant ( t (61.92) = 3.74, p < .001 and t (62.37) = 4.13, p < .001, respectively).

A longer period of follow-up in our study (i.e., 6 months in our study versus 3 months in the initial validation) in a different setting (i.e., nursing home vs geriatric clinic) made it possible to highlight a highly significant difference in the total TSLUMFA score between the two groups (20 (15.75–22.25) points versus 23 (20–25) points, p-value <0.001).

The accuracy versus chance level of 50% contrast was highly significant [0.92 vs. 0.5, t (22) = 18.18, p < 0.001, Figure 2B ], confirming that the priming of calmness-related meanings was successful.

Correlation analysis revealed a highly significant negative association of age and training performance (average PI across both trainings) in both healthy controls (rho = −0.643, p = 0.001) and in patients (rho = −0.690, p < 0.001).

The Wilcoxon signed-rank test confirms highly significant differences ( p <0.001) between ImpAO and other algorithms.

The correlation was highly significant (R 2 = 0.739, p<0.001).

Statistical comparison of resistance profiles among the three Gram-negative species using the chi-square test demonstrated a highly significant difference (χ 2 = 121.84, p < 0.001).

In obese and nonobese patients, intake of glucose and glucose with NaCl showed no significant change in the levels of serum AngII and aldosterone which was associated a significant increase in serum Na in obese patients ( P = 0.03) and a highly significant reduction in serum K in nonobese patients ( P = 0.001).

All main effects were highly significant, including feed additive, day, and feed matrix ( P ≤ 0.001; Tables 2 and 3 ).

Specifically, four nutrients (DM, CP, NDF, ADF) demonstrated a highly significant positive correlation with β-GC and EG (r > 0.82, p < 0.001) and a significant correlation with CBH (r > 0.50, p < 0.05).

Overall, the regression model was highly significant [ F (1, 48) = 55.39, p < 0.001, R 2 = 0.53] and yielded a significant coefficient for trial (β = 0.02, t = 7.44, p < 0.001), which indicates that the difference across the two conditions increased logarithmically over time.

After adjustments, mean BMI for current international migrants was 23.3 kg/m 2 (95% CI 23.0–23.6), with highly significant differences from non-migrants (mean 20.9 kg/m 2 , 95% CI 20.7–21.0, difference = 2.4 kg/m 2 , p < 0.001) and internal migrants (mean 22.0 kg/m 2 , 95% CI 21.7–22.2, difference = 1.3 kg/m 2 , p < 0.001).

All comparisons between tadalafil (5 mg or 10 mg) and placebo were highly significant (p < 0.001).

SAT was highly significant ( r 2 = 0.71, P < .001).

Log-linear model analysis of tail condition against site and sex showed that the interaction between site and tail condition, as well as site and sex, was not significant, but the interaction between tail condition and sex was highly significant ( Table 2 ; df =1; P =0.001).

The model remained highly significant ( P < 0.001) also when validated using a binary logistic regression model, as described in Methods.

However, our reaction time analyses show that the difference between trial types was highly significant, t (47) = 3.77, p < .001, d = .15.

The difference is highly significant in a t -test. ***: P<0.001 (χ 2 test).

Densitometry results showed that transduction with HIP alone at the higher viral multiplicity of infection (of 100 particles per cell) led to a highly significant decrease ( p < 0.001) in the formation of insoluble Q80EGFP, with a concomitant increase in the soluble fraction ( Fig. 2d ).

A highly significant difference (P≤0.001) in the virus titer of treated versus untreated cells was calculated.

As expected, the repeated measures ANOVA showed a highly significant main effect for the network variable ( p < 0.001), indicating significant differences of CMRGlc values in the individual networks.