“highly significant”

The time interval (median 573 days, range 173–8112 days) between first and second irradiation was as expected a highly significant prognostic factor (p < 0.001) as longer intervals indicate a longer treatment history and thus regularly enhanced survival.

The difference in FI rates was highly significant between age groups (p < 0.001).

Caffeine intake of 200–≤400 mg/day was associated with 58% risk reduction (OR = 0.42, 95%CI = [0.25–0.69], p<0.001), and that of 400 mg–≤600 mg/day was associated with a highly significant 80% reduction (OR = 0.20, 95%CI = [0.08–0.51], p<0.001), and >600 mg/day had also strong 79% reduction (OR = 0.21, 95%CI = [0.09–0.52], p<0.001) comparing to the lowest caffeine intake group with 0–≤200 mg/day.

Differences were regarded as statistically significant and as statistically highly significant if p values were <0.05, and p < 0.001, respectively.

The differences in average performance between the three types of HPDs (passive earplug, active earplug and active earmuff) were highly significant ( p < 0.001), whatever the comparisons (passive earplug vs. active earplug, passive earplug vs. active earmuff and active earplug vs. active earmuff).

The density of type C LCs [ Figure 6 ] was markedly increased in chronic gingivitis compared to that of normal gingiva and this finding was statistically highly significant ( P < 0.001) [ Table 3 ].

In all the above tests, the P value <0.05 was considered statistically significant; P value >0.05 was taken to be statistically not significant; P value <0.01 was taken to be statistically highly significant and P value <0.001 as very highly significant.

OSCC with lymph node metastasis showed only slight lymphoplasmocytic infiltration in a highly significant manner ( P < 0.001).

Grain appearance quality The percentage of undamaged grains (UDG) was lower in FACE than in AMB by 5.4 percentage points (Table 2 , P = 0.083), averaged over all cultivars, but with highly significant cultivar differences ( P < 0.001).

There was a highly significant difference detected among groups for peak troponin levels (p<0.001).

Finally, there was a highly significant difference in predation between the two sites ( site 1a and site 1b ) (gall predation: negative binomial GLMM, estimate = −2.05, SE = 0.44, z = −4.64, p<0.001; the incidence of gall predation: binomial GLMM, estimate = −2.25, SE = 0.31, z = −7.26, p<0.001; predation rate: quasibinomial GLMM, estimate = −2.13, SE = 0.26, df = 521, t = −8.30, p<0.001).

Nevertheless, the between-boar differences for this trait were highly significant (P<0.001).

This overlap is highly significant compared to random redistributions of CNVs in the genome ( P < 0.001).

In each case the observed enrichment was highly significant (Wilcoxon test P <0.001).

The significant ( P < 0.001) low positive correlation (0.28) of columella convexity with the length of maxilla agrees with the findings of Gulsen et al .[ 17 ] Columella convexity of the nose when related with vertical skeletal parameters [ Table 2 ] showed a highly significant low positive correlation with both anterior maxillary height ( r = 0.22, P < 0.001) and posterior maxillary height ( r = 0.216, P < 0.001)., -with angle of inclination of maxilla it showed an insignificant (0.61) low positive correlation (0.039).

Interaction between treatments and sub-nuclei was also highly significant (F (2,14) = 73.10; p < 0.001).

Upon removal of one of the Lake Constance populations (BOS2), which proved to be an outlier (Nalimov test), these differences were highly significant ( P < 0.001) when tested with a one-sided Student′s t -test.

Population subdivision was verified by an amova test which yielded a highly significant F ST statistic ( F ST = 0.31, P < 0.001).

The selected genes by all methods were highly significant ( P < 0.001).

Compared to lymphocytes incubated with isotype control antibody, lymphocytes incubated in media containing anti-PD-1 or anti-PD-L1 antibody had a highly significant decrease in apoptosis, P <0.001, (Figure 4 ).

At a finer scale, we detected strong within-island heterogeneity in the proportion of infected monarchs ( Figure 1 ), and the effect of site nested within island was highly significant (Wald χ 2 = 40.38, d.f. = 4, P<0.001).

For both the offline and real-time algorithms, the DA parameter is of greater magnitude in persistents versus paroxysmals and the difference is highly significant (p < 0.001).

The variable was highly significant (Anova, analysis of deviance: df = 16, P < 0.001), and a dispersion factor of 1.004 indicated a good model fit.

The difference between mFPR1 -/- mice and WT-mice was highly significant either among the CD11b + - (153±32 vs 102±24 (p<0,001)) and the Ly6G + -cells (WT126±21 vs mFPR1 -/ 85±22 (p<0,001)).

The results were highly significant in both Helse Nord (p < 0.001) and Helse Midt (p = 0.004).