Excerpts

Statistical modelling of FICI values The results of the Wald χ 2 tests from the fitted linear mixed-effects model evaluating FICI values indicated that antibacterial combination had a strong and highly significant main effect on FICI values ( p < 0.0001), as did compound ratio ( p < 0.0001), indicating that both the identity of the combination and the dosage ratio influenced the degree of synergism.

This was particularly evident for MSWC 30% and MIX 30% for which the correlation values between DOC and labile As were highly significant ( r = − 0.79, P < 0.0001 for MSWC 30%; r = − 0. 90, P < 0.000001 for MIX 30%).

Due to the lower BMI observed in the insulin-sensitive subjects, REE was adjusted for the Kg of free fat mass and the difference between groups remained highly significant (32.2±4.5, 30.3±3.7 and 28.9±3.3 Kcal/kg of free fat mass/day in T2DM, insulin-resistant and insulin-sensitive patients, respectively; P<0.0001) ( Figure 2 left panel).

We observed moderate but highly significant agreement between positivity by SBP1 and REX1 (agreement = 75.4%, kappa = 0.33; P < 0.0001) and PHISTb and REX1 (agreement = 86.4%, kappa = 0.15; P < 0.001) and lower agreement between SBP1 and PHISTb (agreement = 71.1%, kappa = 0.12; P < 0.0001) ( Table 4 ).

Model 3 addressed questions three and four, and fits significantly better than model 2 (likelihood-ratio chi-square = 16855.689–16712.490 = 143.2, which on 9 degrees of freedom is highly significant, p<0.0001).

Differences in tumor recurrence was highly significant for both SK-MEL-28 and MM649 (p<0.0001, Log-rank (Mantel-Cox) Test).

Highly significant values ( p < 0.0001) are shown in red.

Similarly, Peri displayed highly significant seasonal differences ( p = 0.0001), with fall consistently exhibiting lower concentrations than both spring and summer.

The fixation index among the two regions is almost insignificant ( F CT = −0.02710, P ≤ 0.0001) representing 2.71 of the observed genetic differentiation.

These differences in frequency are highly significant ( p < 0.0001 by the Fisher’s exact test).

In many tissues the PHI test for recombination was highly significant ( p <0.0001).

Using a generalized linear model, honey type, bacterial strain, as well as the interaction between both, all had a highly significant impact ( P < 0.0001) on the inhibition of bacterial growth.

Linear trends in both cross-sectional associations between baseline age and baseline PP as well as between baseline age and PP at 6-year follow-up, were highly significant (p=.0001) even after adjusting for race and hypertensive medication use.

On the other hand, a highly significant regression was found for V 1 ( P < 0.0001; R 2 = 0.047, Figure 5B ) which is similar to the association of the NGS-58779 SNP marker using the same population structure ( P < 0.0003; R 2 = 0.037, Figure 5D ).

Discrimination models were examined using OPLS-DA, revealing highly predictive (Q2 > 0.63) and highly significant ( p < 0.0001) differences between sTBI patients and OI controls using metabolic profiles obtained by DI/LC–MS/MS and 1 H-NMR on day 4 post-injuries (Fig. 1 ).

One-way ANOVA ( Tables S1 and S3 ) further indicated that the overall model was highly significant ( p < 0.0001), with experimental data closely fitting the predictive model.

From Fisher's method, we can combine these results to one chi-squared test which is very highly significant (Fisher's method, χ 2 = 80.4, df = 10, P < 0.0001).

Analyzing all ten eggs together, repeated measures ANOVAs were highly significant across the eight time periods for all three direct spectral variables: incident light caused a decrease on average reflectance (F 8, 72 = 11.81, p<0.0001), a decrease in the height of the blue-green peak (of the seven blue-green eggs) relative to the surrounding areas of the spectrum (F 8, 48 = 11.50, p<0.0001), and the height of the UVB peak (F 8, 72 = 11.39, p<0.0001) ( Fig. 4 ).

When analyzed as a mean of all GLU injections at the same dose, the oxygen increase was highly significant ( F (12,240) = 4.13 and F (12,900) = 5.33 for slow- and rapid time resolutions; p < 0.0001), it appeared with ~40-s latency after injection onset, and peaked 30–40 s after injection offset.

The difference in progression before and after 12 months’ treatment was statistically highly significant ( p < 0.0001).

The random effects model indicated a significant mean difference (MD) of -1.66 (95% CI: -2.39 to -0.93), with a highly significant p-value of <0.0001, suggesting a substantial reduction in abdominal pain due to probiotic treatment.

clareFontShape{T1}{linotext}{m}{n} {linotext }{} \DeclareSymbolFont{linotext}{T1}{linotext}{m}{n} \DeclareSymbolFontAlphabet{\mathLINOTEXT}{linotext} \begin{document}$$EE = 64.95 + 24.52*A - 5.70*B + 3.55*AB$$\end{document} The differences between the various treatments of the EE and LC models were extremely significant ( p < 0.0001), indicating that the residuals were entirely the product of random errors, even though the lack of fit was not significant ( p > 0.05).

Correlations were highly significant [tMax: minimum r(30) = 0.78; yMax: minimum r (30) = 0.93; p < 0.0001].

Statistical analysis of DNA damage percentages across the three wavelengths revealed highly significant effects of both time (F(4,24) = 89.45, p < 0.0001) and wavelength (F(2,6) = 85.73, p < 0.0001), with a significant time × wavelength interaction (F(8,24) = 42.18, p < 0.0001).

Highly significant variation in spawning migration behavior was observed among populations (K–W χ 2 12 = 392, P < 0.0001; Fig. 2 ).