Post-hoc LSD tests revealed that: (1) for depression scores, the DOR with depression group scored significantly higher than both the DOR without depression group and the healthy control group (both P < 0.001), with no difference between the latter two groups; (2) regarding hormone levels and follicle counts, there were no significant differences between the two DOR subgroups (all P > 0.05), but both subgroups showed highly significant differences compared to the healthy control group (all P < 0.001), manifested as significantly elevated follicle-stimulating hormone and luteinizing hormone levels, and significantly decreased anti-Müllerian hormone levels and antral follicle counts.
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Unsurprisingly, the pre-PEG B12 value remained the single most dominant predictor, with its effect being highly significant ( P <0.001).
The rmANCOVA on HDRS Bech -scores revealed a highly significant day * status interaction (F = 37.238, p < 0.001).
The effect of memory load on the standard deviation of errors was statistically highly significant ( F (3,21) = 79.95, p < 0.001; Log(BF 10 ) = 54.73) as well as the main effect of stimulus type ( F (2,14) = 7.83 p = 0.005; BF 10 = 44.77).
The presence of a household toilet (OR = 0.33, 95% CI: 0.23–0.48), water storage facilities (OR = 0.33, 95% CI: 0.23–0.47), and the practice of treating drinking water (OR = 0.30, 95% CI: 0.20–0.45) were all protective against infection, each showing highly significant associations ( p < 0.001).
The regression is highly significant and positive (slope = 0.300, R 2 = 0.844, p < 0.001, fig.
The PTA showed highly significant differences between MD patients and controls ( p < 0.001).
Similarly, comparisons against LightGBM (our strongest non-neural baseline at 0.841 accuracy) demonstrate highly significant advantages ( p < 0.001, 95% CI: [0.046, 0.056]), validating claims that multi-modal fusion provides meaningful benefits beyond optimized gradient boosting approaches.
Kolmogorov–Smirnov tests 28 comparing the observed run-length distributions to their geometric expectation were highly significant (D = 0.52–0.59, p = 10− 3 –10− 5 ), demonstrating that the contiguous match structure of real alignments departs sharply from random expectations even when compositional bias is preserved.
In the LC group, the effect of condition on mean body temperature was highly significant (F = 1152.74, P < 0.001).
The survival curves for the three groups were clearly separated with almost no overlap, and the log-rank test indicated highly significant differences ( P < 0.001).
A highly significant difference among treatment groups ( p < 0.001) was observed (Fig. 4 ).
The dyed fabrics with different (SDs) synthesized dyes exhibited an extremely significant differences in K/S values compared to the undyed fabric (p > 0.001).
Within-group analyses revealed highly significant reductions in pain from baseline to Day 7 in all groups (Friedman’s test, all p < 0.001), with very large effect sizes.
Analysis of variance indicated that the effects of environment (E), genotype (G), and GEI were all highly significant ( p < 0.001) in influencing yield per hectare, with the environment contributing 47.5% of the total variation, underscoring the impact of local conditions on performance.
For all the substances except Cadaverine, Gaba, Lysine, and Ornithine, the ANOVA test showed a highly significant difference among groups (p < 0.001).
Differences in maximum length distributions were highly significant among matrices (KW, H = 163.5, p < 0.001).
The main effects are all highly significant: dose (F = 704.450), time (F = 602.805), and extracts (F = 109.872) strongly influence the biological response ( p < 0.001).
A regression analysis of the expression levels (measured as logCPM) of 10 selected housekeeping genes in all the samples pairs (Supplementary Table S2 ) between Kit A and Kit B showed a highly significant correlation (R2 = 0.9747, p-value < 0.001) (Fig. 5 a).
A one-way ANOVA confirmed a highly significant difference in IgG binding across the four antigens ( p < 0.001).
Across all surveys, significantly more species (summed species occurrences at each island) were recorded at Darwin and Wolf than at all other sites (ANOVA, F = 80.4, df : 11,25, p < 0.001; differences between Darwin and all islands, except Wolf, highly significant, p < 0.001; see Table SI- 2 for listing of species, Table SI- 3 for the ANOVA table).
Analysing the two sampling intervals separately showed a highly significant relationship of detected numbers of pesticides and agricultural production area in May ( p < 0.001) but not in August (SOM Table A8 ).
Analysis of covariance revealed no difference in the slopes of the two regressions (P > 0.05), but a highly significant difference in their intercepts (P < 0.001).
These reductions were highly significant compared to control ( p < 0.001) for both methods.
Among the remaining 717 participants with drusen volume > 0 mm 3 , there was a significant trend of increasing drusen volume as AMD severity increases (correlation coefficient 0.17, p < 0.001).