The survival curves displayed a clear stepwise separation, where participants in the highest quartiles (Q4) consistently exhibited the steepest decline in hypertension-free probability compared to those in the lowest quartiles (Q1), with log-rank tests revealing highly significant differences for all indices ( p < 0.0001).
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Compared to baseline (2.2 ± 1.4), the decline in AGM was highly significant ( p < 0.0001) at 1-week, 1-month, and 3-months follow-up with respective mean AGMs of 0.5 ± 0.7, 1 ± 1.1, and 1.4 ± 1.2.
For both survival traits, there was a highly significant line and sex term in the ANOVA ( P <0.0001), as well as a significant line by sex interaction ( P <0.0001).
Moreover, when plastic particles used in toxicity testing were classified into 4 size classes, the effect of particle size on toxicity was highly significant (ANOVA, p < 0.0001), and the dependence of safe concentration (HC 5 ) on particle size was even more remarkable, with a slope b = 1.21 according to the equation: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\log \;{\text{HC}}_{5} = 1.21\;\log \;{\text{S}}{-}2.10$$\end{document} log HC 5 = 1.21 log S - 2.10 where S is the mean particle size (μm) for each size class (r 2 = 0.92, n = 4).
Correlation analysis suggested these results to be highly significant (p < 0.0001).
Photomicrographic quantitation via pixel counts of images (Figure 1 , panel C) showed that a highly significant (p < 0.0001) increase in collagen content in the treated rat lungs as compared to the control group.
The fecundity of laboratory reared females showed a highly significant positive relationship with female body mass before egg laying (linear regression, y = −6.484+2363.95 x , F 1,13 = 86.9, R 2 = 0.82, P<0.0001).
Consistently, a highly significant difference ( p < 0.0001) in terms of smoke production was observed when comparing the groups (Table 2 /Fig. 1 ).
The difference is highly significant ( P < 0.0001).
However, due to the extensive variance in fingertip force between the participants across all 13 stimuli, the explained variance was small while still highly significant ( R2 = .062, F (1,257) = 8.49; p < .0001).
The genetic variance was highly significant ( p < 0.0001) for all traits in all environments, except for TW in Y2.
At all timepoints, there were extremely significant differences between groups ( p < 0.0001).
There was a highly significant positive correlation between CD25+ OX40+ CD4 T cell responses to RBD and CD4 T cell proliferation responses to RBD (pearsons’ rho=0.89, p <0.0001) ( Figure 1D ), as we have previously reported for a variety of other recall antigens ( 20 ).
The colocalization of LAMP3 and EEA1 was calculated using the colocalization threshold plugin in the ImageJ program, and the correlation of the colocalization between LAMP3 and EEA1 was found to be highly significant ( R 2 = 0.96; P < 0.0001) ( Fig. 5B ).
Compared with the groups of healthy people, the abundance of Firmicutes showed a highly significant upward trend in the groups of UF patients ( p < 0.0001) ( Figure 2B ).
Both relationships (LWR and LLR) were highly significant ( p < 0.0001), with all r 2 values being ≥0.992. 3.3.
Statistical analysis demonstrated a highly significant difference between the two groups (p = 0.0001).
Moreover, the results of ANOVA are shown in Tables S3–S6 as the evaluation of the predicted models, which revealed that the models were highly significant ( p < 0.0001 for all), indicating that the models showed a good fit with our experimental data.
Although a high percentage of irregular menstrual cycles was found in all groups, it was more frequent in the PA group than in the AA and EA groups (62%, 37.5%, and 31.2%, respectively), with a highly significant association (p=0.0001).
According to Chi-squared tests in Table 2 and Table 3 , the preference patterns for male and female doctors were all highly significant difference from an equal choice among the various dress styles (p-value<0.0001).
NP and contrast enhanced XRM imaging yielded similar cartilage thickness distributions on both condyles ( Figure 2C ), demonstrating a highly significant correlation between paired values ( R =0.842, n=302, p < 0.0001) ( Figure 2D ).
Fig 1A shows that this pattern of massive difference occurred in the raw data at all three Ages, and the 95% confidence intervals make clear that the differences were highly significant (at all three Ages, p < .0001) with extremely large effect sizes (Cohen’s d = 2.7, 3.0 and 2.7 at the three Ages respectively).
This difference was highly significant (p<0.0001).
sTREM1 was abnormal in 82 (59%) of the patients (mean ± SD 63.26 ± 54.58) and normal in 57 (41%) patients (15.35 ± 6.10), which is highly significant ( P < 0.0001) and correlates well with total leucocyte counts, which are (mean ± SD) 15,283 ± 6,126 for patients with abnormal sTREM1 and 13, 001 ± 6,518 for normal patients ( P < 0.05).
For total medication count, both the overall association and the nonlinear component were highly significant (both p < 0.0001) (Figure 1A ).