“highly significant”

In fact, permutation test analyses (100,000 iterations) detected highly significant values for П (P = 0.00066) and π (P = 0.00063) in Intermediate Area populations compared to those from the Magellanic Province.

However, after six months (T2), a highly significant change was noted compared to the measurement taken three months prior with a reduction in overjet ( p = 0.00066).

A clear change in the substitution pattern was observed in the ENVV1/ENVV2 alignment, and a subsequent gene-conversion test [ 29 ] yielded highly significant results (P < 0.00066, Table 1 ).

We obtained a relatively small but significant effect of exposed ( R 2 = 0.005, P = 0.030), a stronger effect of enveloped ( R 2 = 0.032, P < 10 -5 ), and a highly significant interaction between these factors ( R 2 = 0.012, P = 6.9 × 10 − 4 ).

A comparison of ticks feeding on wild-type versus engineered mice revealed a highly significant difference in infection status ( p = 6.9E−4)(Fig. 3B ). 80% of engineered mice previously challenged with a large number of infected ticks were completely free of infection.

There was also a highly significant difference in the minimum CT values between the tumor recurrence and granuloma groups (15.67±5.113 vs. −17.17±4.826, P=0.0007) and in the floating range CT values (148.00±5.471 vs. 88.11±7.671, P<0.0001), respectively.

This distribution resulted in a highly significant difference (Fisher’s exact test, p = 0.0007) ( Table 3 ).

Post hoc t tests (with Tukey correction for multiple comparisons) revealed that TTX increases in activity were highly significant in both WT (p=0.0007) and TKO (p<0.0001) slices and that TTX produced a significantly stronger increase in the TKO (p<0.0001), while the baseline activity of cells from slices derived from the TKO and WT do not differ significantly (p=0.92).

The FAS test for letter fluency was most highly significant with a p < 0.0007.

Also, the preoperative C1-INH concentration had a highly significant effect on time to recurrence of cancer (P = 0.0007), adjusting for age and disease extent.

The interaction of clade × latitude was also highly significant ( p = 0.0007), indicating that the two evolutionary lineages respond differently in their timing of adult activity at different latitudes.

The difference between the groups was highly significant (p < 0.0007).

The test for subgroup differences was highly significant (Q = 19.26, df = 4, p = 0.0007), confirming differential efficacy by concentration. 3.8.

However, concurrent manifestation of all three classic signs of loiasis pruritus, Calabar swelling, and eyeworm, was a highly significant predictor of infection ( p = 0.0007).

Postoperative visual analog scale score was 4.8 ± 1.12 in Group BN, and in Group BF, it was 3.86 ± 1.04 which was statistically highly significant ( P = 0.0007).

There was highly significant interaction between dietary treatment and storage time for a* ( p = 0.0007) and chroma ( p = 0.0472).

For TPC, the quadratic model was highly significant (F = 32.20, p = 0.0007; Table 2 ), indicating that the model adequately describes the relationship between extraction variables and phenolic recovery.

s'l'+l'l' ), a highly significant genotype effect was also observed (F 1, 155 = 11.9, p = 0.0007).

However, the difference between the two classes of herd size was highly significant in Gulu (75 % vs. 48 %; P = 0.0007), but not in in Kampala (86 % vs. 71 %; P = 0.15).

The correlation was highly significant with a Pearson correlation coefficient ( r ) of −0.41 and p = 0.0007.

The difference between median values was highly significant ( p = 0.0007; Figure 4 ).

Accordingly, while changes in scar mass mirrored changes in infarct size, viable tissue mass increased in CDC-treated patients (+13.0 ± 11.4 g at 6 mo), but not in controls (+0.9 ± 6.2 g at 6 mo), and the correlation between scar shrinkage and increased viability was highly significant (r = -0.59, p = 0.0007).

This increase in seropositivity with age was highly significant (logistic regression p = 0.0007).

The survival analysis showed a statistically highly significant difference in all three key oncologic indicators OS, OS-PO, and PFS-PO (p=0.0007; p=0.0002; p<0.0001).

When applying the CV mortality results in univariate Cox regressions, we observed a highly significant risk reduction resulting from supplementing the participants with selenium and coenzyme Q10 for four years, also after 12 years (HR:0.58; 95%CI: 0.42–0.79; P<0.0007).