“highly significant”

In this case, the preregistered ANOVA confirmed that there was a highly significant effect of depth order, F (1, 18) = 25.1, p < 0.0001, ges = 0.53.

The highly significant adhesive effect F 3,24 = 31.37 , p < 0.0001 demonstrates substantial differences among adhesive means beyond random variation.

The number of eggs in the cluster had a highly significant positive effect on water percentage ( F 1,16 = 31.43, p < 0.0001).

Compared to age-matched controls, the whole cohort of patients had highly significant higher levels of both calgranulins (P < 0.0001 and P = 0.0030, respectively).

The overall correlation coefficient observed between C6 and C6 Plus was highly significant ( P < 0.0001; r = 0.992; 95% confidence interval [CI]: 0.982–0.997).

All three responses demonstrate predictive capability with R 2 values ranging from 0.8418 to 0.9576 with a highly significant p -value ( p < 0.0001).

Similarly, the mean number of days spent in hospital per patient per year was reduced from 9.8 to 1.3, which was highly significant ( t =5.678, d.f.=122, P <0.0001).

There was a highly significant difference in body mass index (BMI) between CRC patients and controls ( P < 0.0001).

All correlations were highly significant (P<0.0001).

A decreasing trend was seen in the diameter of the nanofibres upon adding more micro-capsules, with 16% PMD micro-capsules showing the smallest average diameter and a large size distribution (386 ± 55 nm) against the blank (408 ± 67 nm). The results presented in figure 3 b–d show that the emulsion spun nanofibres with permethrin, catnip and chilli oil had a highly significant effect on the average diameter of the resulting nanofibres (all p < 0.0001).

Analysis of fitted curves shows that this change in dose response is highly significant (EC50 wild-type 2.06 μWcm 2 ; Efemp1 R345W 0.016 μWcm 2 ; F -test P < 0.0001, F = 50.94).

Highly significant up-regulation was observed in CIN III, CC, and TB categories ( p < 1 × 10 −4 ), consistent with activation of proliferative and inflammatory oncogenic miRNA programs.

Crucially, the interaction between genotype and group status was highly significant (F 2,509 = 22.14, p < 0.0001, η 2 = 0.080), with a statistical power of 99%.

The difference between the subjects here and subjects in the previous study [ 5 ] was highly significant (p < 0.0001), for both the 5 point and a 10-point PCL score declines.

Results Our data showed strong, highly significant correlation between arterial and peripheral venous lactate levels (r = 0.880, P < 0.0001), between arterial and central venous blood lactate (r = 0.898, P < 0.0001) and between central and peripheral venous blood lactate (r = 0.941, P < 0.0001).

Similarly, 58.6% (n = 17) of the controls had normal IGF levels in comparison with only 5.9% (n = 1) of the cases with normal IGF levels and was found to be highly significant ( P < 0.0001).

We observed a highly significant correlation between these two metagenomic traits (Pearson’s r = 0.52 and p -value < 0.0001; see Fig. 4 d and Additional file 11 ).

Looking at the effect of this temperature difference on early spiderling development to the 3 rd molt (see Fig 2 ), we found that family had a highly significant effect (F 33,1010 = 254, p<0.0001), UHI temperatures slowed development by 5 days (approximately 25% of the interval between molts 2 and 3; F 1,1010 = 40.4, p<0.0001), and there was no significant interaction between family and temperature (F 33,1010 = 1.15, p = 0.26).

Fluctuating asymmetry The signed FA variance estimation was highly significant relative to measurement error in both tarsus length ( χ 2 = 789.7, d.f. = 1, p < 0.0001) and rectrix mass ( χ 2 = 449.1, d.f. = 1, p < 0.0001) (electronic supplementary material, table S2).

Following multivariate regression analysis to adjust for age, gender, place of residence, employment and perceived danger, this association remained highly significant; people with REM intrusion were more likely to exhibit near-death experiences than those without (OR 2.85; 95% CI [1.68–4.88]; p = 0.0001).

The association between biofilm category (strong, intermediate, weak, and non-biofilm producers) and the production of curli and cellulose was analyzed using a chi-square test, which showed a highly significant relationship across Salmonella Enteritidis isolates ( p < 0.0001).

The equation developed through the regression is as follows: Percent cover of ISA = 0.0795 (radiance) + 0.00868 (population count) The regression had an r 2 squared of 0.59 and is highly significant p <.0001.

In case of HaCaT cells, highly significant viability differences were observed between control, ZnPc or TMPyP versus combination-treated cells ( P <0.0001) at both post-treatment times.

Stringent filtering was further applied, where, unique homopolymer indels (alt allele length range 5–7 bp) with very highly significant fisher’s exact test P value < 0.0001 that were present in ≥ 80% (at least 6 out of 7) MSI-H cases but not in MSS cases were identified.

Although these associations are highly significant ( P < 0.0001), the effect sizes are extremely small (ORs very close to 1.00).