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“extremely significant”

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In the literature

extremely significantp < 0.00010.0× alphaqualified
The Effects of Composite Probiotics on Inflammatory Response in Weaned Piglets and Pregnant Sows The serum test results showed that the IL–1ß, IL–6, and TNF–α level of group C2 pregnant sows was significantly higher than that of group T2, with an extremely significant difference ( p < 0.0001, p < 0.05, and p < 0.01) ( Figure 1 A–C).
extremely significantp < 0.00010.0× alphaqualified
Linear regression of wound healing profiles altogether showed that the differences between the elevations or intercepts (i.e., X -intercept when Y = 0.0 and thus closure time) were extremely significant between the stimulated samples at 1 Hz and 80 Hz and the control specimens ( p < 0.0001).
extremely significantp < 0.00010.0× alphaqualified
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).
extremely significantp < 0.00010.0× alphaqualified
An extremely significant association was observed between molecular detection of viral RNA/DNA and occurrence of diarrhoea in dogs (OR 7.40, 95% CI: 4.04–13.55, p < 0.0001), thus confirming the important role played by viral agents in the development of gastrointestinal disease.
extremely significantp < 0.00010.0× alphaqualified
This was confirmed by the statistical analysis of the differences in mean TEAC values recorded between all the considered API groups and both of the placebo sample groups, where all of the obtained p values indicated extremely significant differences (i.e., p < 0.0001 in all cases, Figure 4 ). 3.4.
extremely significantP < 0.00010.0× alphaqualified
Statistical analysis using two-way ANOVA with Bonferroni post-test on a pairwise comparison of the profile of the unfertilized oocyte with mRNA profiles collected at different time points after fertilization revealed that the correlation between segment and mRNA level is extremely significant ( P < 0.0001), but that there is no effect of fertilization and time following fertilization ( P ≈ 1).