Barely Significant

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highly significantp < .00010.0× alphaqualifiedgold
Second, all the model statistics were highly significant ( p < .0001), excepted for the inferior lateral ventricle model for AD which was only significant ( p < .05). 3.3 Classification based on multiple lifespan models To evaluate the classification performance of HAVAs on testing datasets, we performed a comparison with the three most discriminant structures.
highly significantp <.00010.0× alphaqualifiedgold
To test for the scalar invariance of the controlling-behavior items, the ∆CFI between the configural model and the scalar model was not within its recommended range of ≤ 0.002 [ 34 ], and the χ 2 difference test comparing the nested scalar model with the configural model was highly significant, at p <.0001.
highly significantP < 0.00010.0× alphaqualifiedgold
Gene set enrichment analysis identified a highly significant overlap of transcriptional markers of intestinal stem cells (chi‐squared test with Yates's correction, P < 0.0001; Munoz et al , 2012 ) between the gene lists, demonstrating elevated expression of some members of the intestinal stem cell signature following Huwe1 deletion.
highly significantP < 0.00010.0× alphaqualifiedgold
Survival analysis for this alteration showed that the difference between wild-type (WT) and NOTCH1 deletion patients was highly significant for both PFS (mPFS: 1.40 vs. 7.83 months; HR = 51.00, 95% CI: 4.80–540.00; P < 0.0001) and OS (mOS: 4.07 vs. 38.30 months; HR = 1 × 10 10 , 95% CI: 0-infinity; P < 0.0001) (Fig. 3G, H ).
highly significantp < 0.00010.0× alphaqualifiedgold
There was a highly significant, negative correlation between fALFF and Andrew's score ( Fig. 4 h; rho = −0.715, p < 0.0001; Spearman correlation test), suggesting that the amplitude of haemodynamic oscillations correlates not only to the overall changes in glial reactivity in each individual, but also to the spatial extent of the glial reactivity, and that the local presence of reactive glia is needed for this vasomotion amplification to occur.
highly significantp < 0.00010.0× alphaqualifiedgold
Statistical significance for comparisons of drug responses across different numbers of cells per spot was determined using ordinary one‐way ANOVA, with highly significant differences ( **** p < 0.0001, *** p < 0.001, ** p < 0.01) for comparisons between different groups, while “NS” indicates a nonsignificant statistical difference between the data groups.
highly significantp < 0.00010.0× alphaqualifiedgold
In addition, the quadratic term X 3 2 (LOR2) was highly significant ( p < 0.0001), along with a large negative coefficient (−272.987), confirming the strong nonlinear suppressive effect of higher LOR concentrations on the nanoparticle size.