The main effect of scale labeling was still highly significant (F 1,1260 = 146.47, p < 0.0001), f = 0.34 (90% CI: 0.29 – 0.39).
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When both fully and partially correct responses were considered, the difference became highly significant (χ 2 = 42.22, p < 0.0001).
Statistical analysis revealed highly significant linear and quadratic effects for all metrics ( P = 0.0001, indicating a complex relationship between selenium dose and growth, with potential for an optimal selenium level.
The overall effect test result is highly significant ( z = 4.17; p < 0.0001), underscoring a consistent and statistically significant difference favouring the group with disabilities.
The test for residual heterogeneity was highly significant ( p < 0.0001). 4.4.1.2 DBS primary for treating chronic pain (DBS-P) analysis The test of moderators for age as a predictor was not significant F(df1 = 1, df2 = 22) = 1.1608, ( p = 0.29), indicating that age did not significantly moderate the effectiveness of DBS-P for chronic pain The estimated amount of residual heterogeneity (tau^2) was 43.86, indicating considerable heterogeneity among the studies.
The difference in CENP-A recruitment efficiency between CAL1 1–100 and CAL1 1–192 was highly significant (P < 0.0001), leading us to conclude that even though the first 100 amino acids of CAL1 are sufficient to mediate some CENP-A recruitment, robust recruitment requires residues 1–192.
The Pearson correlation between the floristic ordination and the constrained ordination was 0.893 on Axis 1 and 0.786 on Axis 2; both the correlations and the size of the eigenvalues were highly significant (p < 0.0001 by Monte Carlo permutation tests).
The statistical analysis confirmed that both temperature and time exerted highly significant main effects on the CQAs of the VLP vaccine ( p < 0.0001), and a significant interaction was identified between the two factors ( p < 0.0001).
However the overall Pearson Chi-square test for non-uniform distribution was highly significant for both the Northern hemisphere ( p < 0.0001), and Southern hemisphere ( p = 0.0001).
A highly significant overlap of DEGs in response to reduced Ecd between the two transcriptomic experiments (72%, P ≤ 0.0001, hypergeometric test) underscored the robustness of the molecular phenotype.
The mean worst BCVA and mean final BCVA (logMAR) were 1.26 ± 0.87 and 0.61 ± 0.85, respectively, and their difference was highly significant ( p < 0.0001, Friedman test).
A highly significant Spearman’s correlation coefficient (r ≥ 0.91, p < 0.0001) was observed between the response to OVX836 NP and various heterologous influenza A strain NPs (including H5N1) in both age groups.
After logarithmic transformation of both variables, their distributions approached normality ( P > .15 for FVIII; P = .045 for inhibitor titers), and a strong, highly significant negative correlation emerged (r = −.74; P < .0001; Figure 2 ).
Among the genes associated with auditory abnormalities, in the cellular component domain, the most strongly enriched term was cytoplasm, with 67% of annotated genes and a highly significant adjusted p ‐value p < 0.0001.
The association between follow‐up CSF NfL and follow‐up MRI lesion location 1 year later was still highly significant with infratentorial lesions ( r = 0.633, p = 0.0001, n = 16) and less so with juxtacortical lesions ( r = 0.546, p = 0.029, n = 16).
Analysis showed a highly significant GXE interaction effect with a p value <0.0001.
As shown in Figure 6 , analysis of the core W-box motif (TTGACY) in promoters of these genes by POBO (Materials and Methods) shows that enrichment of this motif is highly significant ( p -value < 0.0001) compared to randomly selected promoters from all Arabidopsis genes.
The log-rank (Mantel-Cox) test revealed highly significant differences between survival curves (χ2 = 86.49, df = 4, p < 0.0001), indicating that survival probability strongly depended on age at the time of infection.
Coefficients for the first three cycles are relatively strong and highly significant (p<.0001), while those for the last three cycles are weaker and minimally or not significant.
Whereas the original data analysis reported a highly significant effect ( P < 0.0001), generalized mixed-effects models with a random effect for name indicates that the effect is not robust, neither with the data from the general public (b = −0.108 [log odd units], z = −1.712, P = 0.087) nor with the data from elected officials (b = −0.065, z = −1.432, P = 0.155). * While this does not mean that we should accept the null hypothesis, it shows that the study is underpowered.
E was between 36 and 41 % lower in both parameters than the two older scanners; these differences were highly significant as well ( p < 0.0001 in both instances).
The statistical analysis showed that the determined values of the contact angle and roughness for all the samples are highly significant ( p < 0.0001).
Regression coefficients and factor significance The full quadratic model’s ANOVA (Table 4 ) revealed a highly significant overall fit (F = 15.29, p < 0.0001), with R2 = 0.934, adjusted R2 = 0.879, and predicted R2 ≈ 0.65.
Both in the supine position and at end‐tilt the relations were highly significant (all four: p < 0.0001).
As shown in Figure 5 C, the results of specificity testing using a double-antibody sandwich ELISA indicated that, compared with the blank control, the assay had a highly significant ability to detect the SARS-CoV-2 N protein ( p < 0.0001).