This inverse correlation is highly significant in KS group (r=-.874, p=0.001) and was of no significance in KHE group (r=0.435, p=0.282) as all cases were negative for α-SMA.
Excerpts
Highly significant differences in the allelic distributions ( P < 0.001) were found between all the geographic groups for all markers except for the CH-Vf1 locus when comparing Southern and Western germplasm (data not shown).
The composite FTAI, reflecting the overall degree of frontotemporal atrophy, was substantially elevated in SZ (1.09 ± 0.58) and close to zero in HC (0.00 ± 0.53), with a highly significant difference (t = 14.37, p < 0.001).
Notably, a highly significant difference (p < 0.001) was observed between the patients with no liver fibrosis and those with initial fibrosis of the liver parenchyma (F1).
The increase in absolute risk across higher MAP categories was highly significant ( P <0.001).
35 In addition to years of experience, prior interaction with individuals diagnosed with ASD emerged as a strong predictor of knowledge, with highly significant associations found in both bivariable and multivariable analyses (p<0.001).
All F STs were highly significant ( P > 0.001).
A regression analysis with task (ER vs S) as independent factor and A ROC values as dependent variable showed a highly significant main effect of task (ER vs S; F = 14.33, P < 0.001; F = 4.20, P = 0.002, corrected for performance as indexed by percent correct for each task).
Immunofluorescence staining of hippocampal brain sections demonstrated that the expression of Cx30 in astrocytes of isoflurane-anesthetized rats was significantly lower than that of control rats, with a decreasing trend consistent with the WB results ( p < 0.001) (Fig. 2 ).
Four mutations (p.Pro557Arg, p.Tyr647Ser, p.Gly815Arg, p.Phe817Leu) resulted in a highly significant reduction of agonist Imax values ( p < 0.001, n = 5–9; figure e-2a).
The analysis of variance showed that the multiple regression analysis model was highly significant (F = 13.9, df = 3, p<0.001) with partial regression coefficients demonstrating that this was due to the numbers of larvae collected per week increasing over time (coefficient = 0.17, T = 2.4, p = 0.016) and decreasing with increasing salinity in the ovitraps (coefficient = −0.77, T = −5.8, p<0.001).
Treatment modality was a highly significant predictor, with the Digital and AI group showing greater improvement compared with the Conventional group (β = 8.62, 95% CI: 6.75–10.49; p < 0.001).
This test indicated a highly significant effect for treatment (1.82-fold increase; p < 0.001, not shown).
In contrast, petechiae exhibited a highly significant association with liver stiffness (χ2 = 19.516, P < 0.001), highlighting its potential value as a clinical indicator for liver fibrosis.
Table 3 shows that parents’ emotional status has extremely significant influences on irritability of the youth ( P< 0.001).
The correlation between the two variables is highly significant ( r = 0.43, P < 0.001).
The results showed that the percentage of CHE showed a decreasing trend with increases of income (chi-square test results χ2 = 360.21, P < 0.001).
The model addresses this through a highly significant interaction term (p < 0.001).
Accordingly, if included in the final model, time since stillbirth was not significantly associated with IES>20 (p=0.055), whereas young age at the time of stillbirth remained highly significant (p=0.001).
The effect of W level on tomato WUE was highly significant (P<0.001, Table 1 ).
We defined the threshold of statistical significance as statistically highly significant at P < 0.001.
Non-parametric tests revealed highly significant differentiation between ERVs from African versus Eurasian species ( P < 0.001).
The expected and observed proportions of affected offsprings by birth rank differ substantially (top left) and the χ 2 -type test is highly significant (p<0.001).
A highly significant difference was found between microbial communities in the Caspian and Mediterranean Seas ( p = 0.001, R 2 = 12.4%), indicating that Location explains a substantial portion of the variation observed.
Sensitivity analyses using BOCF to provide a conservative estimate of 12 week weight loss for all participants were also highly significant (baseline-12 week weight change: intervention group p<.001, comparison group n.s.; between-group difference p<.001).