Excerpts

In this case, the observed ΔAIC RC statistic indicates a highly significant departure from the null hypothesis of rate-constancy (p = 0.0016; Fig. 1 ), supporting the conclusions of Turgeon et al.

Using univariate analysis we proved that c-myc amplification and overexpression were highly significant for disease-free survival (DFS) ( P = 0.0016 and P = 0.0001 respectively) and overall survival (OS) ( P < 0.0001 and P = 0.0095 respectively), although by multivariate analysis c-myc overexpression was statistically significant only for DFS ( P = 0.0001) and c-myc amplification only for OS ( P = 0.0006).

Importantly, a combination of the main effects on Per2 expression resulted in a highly significant change in the difference between these two test times (p = 0.0016 for Per2 ; p = 0.00015 for N/P; Table 1 ).

Among COPD patients who had a BMI of ≥ 25 kg/m2 and BMI < 25 kg/m2, when compared, the statistical difference was highly significant (t = 3.2559; df = 98; P = 0.0016).

Indeed, a paired groups t-test was highly significant ( P = 0.0016; means: 14.41 for the left-eye-to-target condition and 3.45 for the right-eye-to-target condition).

In comparative analysis of controls and CNP patients, WLS ( P = 4.80 × 10 –7 ), CHPT1 ( P = 7.74 × 10 –7 ) and CASP5 ( P = 2.30 × 10 –5 ) were highly significant, whilst FGFBP2 ( P = 0.00162), STAT1 ( P = 0.00223), FCRL6 ( P = 0.00335), MYC ( P = 0.00335), XCL2 ( P = 0.0144) and GZMA ( P = 0.0168) were significant in all CNP patients.

The regression model predicted that in presence of aCCP, anti-S levels increased by 6.28 times, a highly significant result (p= 0.00165).

Several interaction terms exhibited highly significant effects, particularly temperature × wind speed ( p = 0.00167) and relative humidity × soil (dust) load ( p = 0.00083).

In addition, statistical analysis showed highly significant differences between the BC SBR grading according to BCL2 expressions, indeed its rates among SBR grading ( Figure 3-A , p= 0.00168) showed high percentage in SBR I.

Plants inoculated with fungi from all elevations showed a positive trend at three months with respect to nitrogen absorption and plant biomass respectively (F = 4.44, df = 1, p = 1.69x10 -3 ; F = 5.47, df = 1, p = 5.61x10 -6 ).

The independent variables that we identified in the univariate analysis in GC + DU cases were D58, D58/K59, D58/K59/Q62, and D58/K59/I60/Q62 and DKIGQ polymorphisms with age and gender were included and only D58/K59 was determined as highly significant (OR: 6.5, P = . 0017) ( Table 8 ).

The pseudo-absence selection method had a highly significant (ANOVA, p = 0.0017) effect on model mean AUC values, but the interaction between model type and selection method was insignificant.

Interestingly, there was a highly significant positive correlation ( r = 0.7575, P = 0.0017) between GHSR1a and ghrelin ( Fig. 5A ) and also between GHSR1a and SERCA2a ( r = 0.7154, P = 0.0040) ( Fig. 5C ).

In a multivariate regression analysis, utilizing baseline CA19-9, and baseline ctDNA KRAS as continuous variables, along with the co-variates of interest, stage, gender (sex), and baseline European Cooperative Oncology Group (ECOG) performance score, ctDNA KRAS remained highly significant for TTP (HR = 1.45; 95% CI 1.15–1.83, p = 0.0017), while baseline CA19-9 was less significant (HR = 1.27; 95% CI 1.03–1.58, p = 0.0284) along with sex (HR = 0.79; 95% CI 0.63–0.99, p = 0.0400) (Table 3 ).

When decade of music was included in the analysis, a linear contrast found a quite significant decreasing effect of birth cohort [ F (1,54) = 10.9, p = 0.0017] on how much they were listening to music alone.

Similarly a highly significant correlation between incidence of CD and lactase persistence (r = -0.655, p = 0.0017) was reported in an observational study encompassing data from 20 countries [ 19 ], whilst Shrier et al [ 20 ] reported a reduction in CD risk with increasing prevalence of lactase non-persistence in a review of global population data.

Recall yielded the most prominent progressive elevation (baseline:1.83±0.78; 72 h:2.32±0.75), with a highly significant temporal effect (χ 2 =15.123, df=3, p=0.0017, Cohen’s f=0.308, large effect size) and significant gains at 48 h (p=0.0350) and 72 h (p=0.0038).

We performed Gene Set Enrichment Analysis (GSEA) on the differentially expressed genes and found that, compared with the NC group, the OGD + VK1 group showed a trend toward suppression of the cellular response to reactive oxygen species pathway ( p = 0.0017; p.adjust = 0.1457).

have quantitatively analyzed the molecular interaction between SUN proteins and Lamin A using acceptor photobleaching FRET technology, showing that the FRET efficiency of SUN1 and Lamin A (about 14–16%) is significantly higher than that of SUN2 and Lamin A (about 8–10%), and the difference between the two was statistically highly significant ( p = 0.0017) [ 6 ].

We found that, in the BAC region of overlap across the two dosage levels (0–0.025%), as expected, linear regression revealed a large and highly significant elevation in the y ‐intercept estimate for the lower‐dose condition (Δ = +15.6%, F 1,23 = 12.67, P = 0.0017).

Kaplan–Meier survival performed on all IHC subgroups revealed that an overall log-rank test was highly significant for both PFS ( p = 0.0017, Figure 3 B left) and SOS ( p = 0.0081, Figure 3 B right).

The difference between the X and the other KTs was highly significant (p < 0.0017, t test).

Primary outcome (secondary hyperalgesia areas) Baseline data Data consistency during Session 1 vs Session 2 ( Figure 2B ) was examined by ICC’s (0.85 [0.64–0.94]) and by comparisons of baseline assessments using simple paired sample tests demonstrating a highly significant difference in baseline assessments between the sessions (Wilcoxon: P =0.0017).

Moreover, 68 PSGs were both down-regulated in the long-lived naked mole-rat and up-regulated in the short-lived rat during aging ( Fig 2 ), resulting in a highly significant preference for quadrant I (down in naked mole-rat, up in rat; p = 0.0017, one-sided fisher test, quadrant I against the sum of II, III, IV).

There was a highly significant difference in CN between the three conditions tested for all samples (Friedman test p = 0.0017 for EIF2C1 and 0.0046 for TSC2 ), with a significant pairwise difference between the original and Puregene CN values after Dunn’s multiple comparison correction (p = 0.0045 and 0.0141 respectively).