“highly significant”

The results showed that the main effect of “group” was highly significant, F (2, 139) = 9.075, p < 0.001, η p 2 = 0.115 (90% CI [0.039, 0.194]), with clear increases in CG and EG2 cont as well as decreases in EG1 disc .

A highly significant difference was observed between the TN and control groups ( p < 0.001), along with a significant difference between the HFS and control groups ( p = 0.007).

The difference in HADS anxiety scores also remained highly significant after age adjustment (β = –7.84, p < 0.001), whereas the group difference in HADS depression scores was no longer significant (β = –2.09, p = 0.052).

Nevertheless, the association with CHD remained highly significant ( p <.001).

The post hoc t -tests between the intensity groups and modalities were all highly significant ( p < 0.001).

This difference was highly significant at p<0.001 (1-way analysis of variance [ANOVA], F = 38.824, done on logarithmic RNA concentrations).

The multivariate multinomial model was highly significant (p< 0.001), and showed that gestational age, necrotizing enterocolitis and birth asphyxia were associated with the use of a single therapy, whereas the need for multiple therapies was solely predicted by major brain lesions.

A two‐way ANOVA demonstrated that the type of scanner had a highly significant effect ( F = 1836.736, p < 0.001), while the method of scanning (Parallilometer vs.

RT-PCR analysis showed a highly significant increase of NTRK1 expression in the biopsies of patients with active EoE compared to unaffected control individuals ( Figure 6A , p<0.001).

In contrast, Orbaceae was abundant in workers (27.7%) but low in queens (0.3%) and drones (0.2%), with highly significant differences between workers and queens ( p ≤ 0.001) and workers and drones ( p ≤ 0.01).

A robust stress response was validated through highly significant c-Fos reactivity in the PVN compared to control (198.9 ± 14.6 vs. 1.4 ± 0.9, p < 0.001; Figure 1 B), which correlated with FPO ( Figure 1 C).

Highly significant affect category main effects were found for both valence [ F (2,44) = 141, p < 0.001, η p 2 = 0.87] and arousal [ F (2,44) = 51.2, p < 0.001, η p 2 = 0.7].

Despite these correlations, three of the variables were highly significant in the full model (P < 0.001), and excluding the two that were not (slope and mean temperature; P > 0.7) did not substantially change their coefficients or standard errors.

The highly significant association was predominantly observed in the subgroup of patients who underwent valve surgery (β = 6.243, 95% CI [3.631, 8.856], P < 0.001) and in those with a CCI score > 5 (β = 6.852, 95% CI [3.870, 9.834], P < 0.001).

AMOVA ( Table 2 ) showed highly significant genetic differentiation among species as well as among populations within species ( P < 0.001 in both cases).

At high levels of experienced stress, we found a highly significant relationship, b = 1.087, t = 4.550, p < 0.001, showing that the learning performance of the no-training group dropped when participants experienced higher levels of stress.

All four split intervals and the total time showed highly significant differences across the three groups (all p < 0.001), with effect sizes uniformly in the very large range (η 2 /ε 2 = 0.70–0.88).

The difference was highly significant ( t = −29.12, p = 0.001).

Importantly, the pooled analysis of all patients demonstrated a highly significant overall association between thyroid nodules and thyroid malignancy (Χ 2 = 30.831, p < 0.001).

Although the magnitude of phage effect on the resistome and mobilome varied between the sampling sites ( R 2 = 0.2961, p < 0.001), the impact of phage treatment was highly significant ( R 2 = 0.5031, p < 0.001, Fig. 5 c).

Moreover, the linear time × group interaction was highly significant ( p < 0.001).

When samples from the inside and outside of syringes were examined separately, the contaminated samples from the outside of syringes had a highly significant longer examination time ( p < 0.001) of 1.88 ± 1.28 h (median 1.50 h; IQR 1.25 h) compared to 1.08 ± 0.47 h (median 1.00 h; IQR 0.55 h) for uncontaminated samples.

[3] Highly significant correlation was found between conventional and digital radiograph for alveolar bone level measurements (p<0.001).

We apply a correction for multiple comparisons called False Discovery rate (FDR) to mitigate this effect, and we only retain highly significant p -values p < 0.001 from the corrected z-map.

Tukey’s test based on the first principal coordinate values revealed highly significant differences between H and D as well as between AL and D (P < 0.001 in both cases).