The corrected R 2 = 0.019 was small but highly significant ( p < 0.001).
Excerpts
Post-hoc Bonferroni analysis showed statistically significant superiority of BUDVA in the SA60 group compared to the PanOptix and Eyhance groups (p = 0.024, CI [−0.0473, −0.0024] and p = 0.023, CI [−0.0582, −0.0032], respectively). ANOVA of BNVA demonstrated highly significant differences between groups F(2, 241)= 173.834, 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.
The Q-test remains highly significant in all scenarios ( p < 0.001), confirming that heterogeneity is not driven by any single study but is instead intrinsic to the dataset, as shown in Table 5 .
The F-statistic for the model was highly significant at p < 0.001, indicating that the model performed well in terms of overall prediction.
Furthermore, a nonpreregistered mixed ANOVA examining the effect of MCQ presentation order ( Supplementary Material B9 ) revealed that, while the date/delay effect was still highly significant, F (1,998) = 264.89, P < .001, η p 2 = 0.21, TD was generally lower in participants who first completed the date and then the delay version (than vice versa), F (1,998) = 12.91, P < .001, η p 2 = 0.01.
The correlation among the mean δ 15 N signatures of these primary consumers and the remaining members of the communities was highly significant (p< 0.001, adjusted R 2 = 0.73) ( Fig 6 ).
Although the groups showed a strong trend of decreasing MoM with increasing weight ( p < 0.001; Jonckheere’s test), individual comparisons among the three groups (without regard to the ordering of categories) found no real difference between ELBW and VLBW ( p = 0.201; Steel-Dwass multiple comparison procedure) while each of the two lower groups both differed from the LBW group ( p < 0.001 for each; Steel-Dwass).
In all groups of mothers there was a highly significant correlation between fish consumption and total HHg concentrations: riverine (Spearman r = 0.8089, p = 0.001), urban (Spearman r = 0.7681, p = 0.001), rural (Spearman r = 0.7644, p = 0.001), and tin miner (Spearman r = 0.1211, p = 0.001); thus, confirming total HHg as a reliable biomarker of fish consumption [ 16 ].
The mean (± SEM) cAL increase was 11 ± 2 μm at 3 D, 14 ± 2 μm at 6 D, and 26 ± 2 μm at 9 D, with all pairwise comparisons highly significant (all P < 0.001), except the difference between the 3 and 6 D stimuli ( P = 0.48).
On intergroup comparison, it was statistically highly significant ( P <0.001).
The difference in the ASCUS incidence in the three groups was highly significant (χ 2 = −14.6; P < 0.001).
Correlation analysis between ANGPTLs and atherogenic lipid biomarkers performed in the whole study group indicated a highly significant positive association of ANGPTL3 and ANGPTL8 with TG (R = 0.375 and R = 0.528; p < 0.001), TG/HDL-C (R = 0.33; p = 0.001 and R = 0.52; p < 0.001), sdLDL-C (R = 0.29; p = 0.004 and R = 0.38; p < 0.001), and remnant-C levels (R = 0.25; p = 0.015 and R = 0.36; p < 0.001).
For parental educational attainment, however, the difference in fit was highly significant ( χ 2 (16) = 50.64, P < 0.001), suggesting the presence of some sort of moderation.
The analysis showed a highly significant effect of the HF band [F(5,30) = 32.33, p<0.001] and the SNR [F(1,6) = 1673, p<0.001], the values for the SNR being Greenhouse-Geisser corrected.
Interobserver variation The intraclass correlation coefficient was highly significant (0.935, p<0.001).
ExA showed a highly significant positive correlation ( r = 0.91, p < 0.001) with Ex‐Al inferring the dominant role of aluminum in making ExA (Figure 2c ).
Thus, an increasing trend of adiposity values and excess body fat prevalence with early age of pubertal development stages was observed (trend p < 0.001 for all variables).
RT-PCR results compared to chip results As a quality control measure, correlation of data between the GeneChip and QPCR was highly significant (P < 0.001) indicating internal consistency.
The differences between the two periods investigated in the present study were highly significant in all the measures, i.e., vigorous and moderate physical activity, walking, and total physical activity ( p < 0.001).
Secondly the category of the birth weight was significantly associated with deaths due to HIV/TB, showing a decreasing trend with greater birth weight (Chi-Square p -value < 0.001).
The latency time in each group followed a decreasing trend, demonstrating a statistically significant decrease among these time points ( P = 0.001).
When exact p-values are not provided, significant differences (*) are considered for P < 0.05, very significant differences (**) for P < 0.01 and extremely significant differences (***) for P < 0.001.
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.
The differences in the amount of sperm transferred between treatments was highly significant (ANOVA on square root transformed sperm counts: F 2,38 = 9.39, P = 0.001, Figure 3 ).