A χ 2 test showed that the difference between the subgroups was highly significant (p<0.001).
Excerpts
Our working example demonstrates a highly significant association between the variables A and B with a P value of < 0.001.
A highly significant difference was observed between the two groups ( p < 0.001).
The overall comparison was found to be statistically highly significant ( p < 0.001) (Table 1 ).
From the cross-lagged path diagram, it can be seen that the autoregressive coefficients for negative emotions and health-promoting behaviors at the two measurement time points were stable and highly significant, with β = 0.43 ( P < 0.001) and β = 0.36 ( P < 0.001), respectively.
There was a significant trend towards increases in the volumes contoured when using MRI and PET/CT, compared to MRI alone (Z = −4.53, p < 0.001).
Specifically, WISP2 showed highly significant expression differences ( p value < 0.001), while MELK and SDF2L1 showed substantial statistical significance ( p value < 0.01).
Two-way ANOVA indicated that accession group, population, and their interaction effects were highly significant ( p -values < 1e-03) across the G . max populations.
The results revealed a highly significant positive correlation ( P < 0.001, R 2 = 0.9994) between the translation intensity of cistron 1 and that of cistron 2 (Fig. 3A ), indicating that the translation of cistron 2 strictly depends on cistron 1 translation.
All Pearson correlations between true and recovered parameter values are highly significant ( p < 0.001).
Results Treatment Effects on Plant Traits Including cultivar group and N-level as fixed effects, N-level main effects were highly significant ( p < 0.001) for most traits (Table 2 ).
Logistic regression analysis yielded highly significant associations (χ 2 = 14.5, p < 0.001) and strong model fit metrics (AUC = 0.811; R 2 McF = 0.262), validating the discrimination power of this variable.
Regarding the association between intentions towards COVID 19 vaccination and attitudes towards vaccines, vaccine hesitancy had highly significant associations with intermediate mistrust level of vaccine benefit (p < .001), high worries about unforeseen effects (p < .001), intermediate concerns about commercial profiteering (p < .001), and intermediate preference of natural immunity (p < .001) ( Table 5 ).
Both coefficients were statistically highly significant ( p < 0.001).
The overall model was highly significant (Wald χ 2 = 18.6, p < 0.001), confirming that metabolic endotype contributes independently to the prediction of dialysis initiation beyond conventional risk factors. 3.9 Sensitivity Analysis for Albuminuria Exclusion.
Both KBP resulted in highly significant conformal plans as compared to CP, (Conformity Index CI 43 and CI 36 ; 1.07 ± 0.05 vs 1.01 ± 0.02, 1.58 ± 0.11 vs 1.45 ± 0.06, p < .001) ( Table 2 ).
2C , the bacterial Chao1 index of high-temperature Daqu (255.40 ± 37.47) was higher than that of medium-temperature Daqu (134.16 ± 16.55), and the difference was extremely significant ( P ≤ 0.001), indicating that high-temperature Daqu had more bacterial species than medium-temperature Daqu.
The results showed a strong and highly significant negative correlation between rMCC ReHo values and SSD severity ( r = − 0.843, P < 0.001), indicating that lower ReHo values in the rMCC are associated with more severe SSD symptoms.
One-way analysis of variance (ANOVA) revealed a highly significant difference in FBG levels among experimental groups at week 6 (F = 131.08, p < 0.001).
The difference between the two groups was highly significant (P < 0.001).
Statistical analyses reveal highly significant differences ( p < 0.001 ), underscoring the considerable impact of these traits on emotional expression.
In this study, the Kaiser–Meyer–Olkin value was 0.936, and Bartlett’s test of sphericity was highly significant (p < 0.001); therefore, exploratory factor analysis (EFA) was considered appropriate for the data.
The robustness of the final model is supported by a McFadden’s pseudo R-squared value of 33% and a highly significant model fit (χ2 = 554.94, p < 0.001).
Regarding SD clusters, we found an increasing trend in ORx and OSRx average within 60 min just before SD clusters, as seen in the positive slopes derived from the fitted linear mixed-effects model (0.0013 [ p = 0.001] for ORx and 0.0009 [ p = 0.0001] for OSRx, respectively; Table 2 ) We also found a decreasing trend in ORx within 60 min just after SD clusters (− 0.0008, p = 0.0288) but no significant trend in OSRx post-SD clusters.
Notably, the changes in trans - β -carotene were highly significant ( p < 0.001), and the 9- cis -isoform and 13- cis - β -carotene were observed after the intervention but not at baseline.