Figure S1 shows the successful posterior predictive checks: the simulated data from the hybrid model reproduce the key features of our data indicated by the highly significant correlation between the real and simulated choice behavior (all r s ≥ 0.83 and p < 0.001).
Excerpts
When the groups separated according to the presence of osteoporosis were compared among themselves ( n 1 = 72, n 2 = 66, n 3 = 18) according to the degree of DI, it was found to be statistically highly significant, similar to the SI grade results (normal–osteopenia, osteopenia–osteoporosis, and normal–osteoporosis, all three p < 0.001).
Considering baseline CRP concentrations when prescribing dietary interventions to lower lipid concentrations may be useful.[ 30 ] Our combo diet caused 35% drop in CRP levels, which was highly significant from baseline P ≤ 0.001.
The effects of incomplete block structures within environments [Block (Env*Rep)] were also highly significant ( p < 0.001), indicating substantial variation due to experimental design factors.
There was a significant trend in the association between duration of hypertension and VaD ( p < 0.001).
Differences between the responding patients in the four language groups regarding their understanding of the stage of their disease and that indicated by their hospital record are shown in Table 2 ; these differences are highly significant ( P =0.001).
Demographics related to 30-day in-hospital mortality (Table 1 ) There was a highly significant difference between the ages of the initial survivors 60.5 (43.3, 74.8) and 30-day in-hospital deaths 78.5 (67.9, 85.3) ( p < 0.001).
Also, the statistical correlations between the NPRS score of the elderly with the Roland and Morris Disability Questionnaire and the Quebec Back Pain Disability Scale score are highly significant (p < 0.001) (Table 5 ).
A repeated-measures analysis of variance (ANOVA) showed a highly significant main effect of mistuning on the detection threshold: F(3,15) = 28.7, p<0.001.
Within-profile analysis for the “Low Profile” was explored using a one-way repeated-measures ANOVA, which revealed a highly significant effect of the cognitive domain on performance (F(3, 180) = 41.13, p < 0.001), with a large, generalized effect size (η 2 G = 0.344).
Biological results Apoptosis and proliferation Prior to treatment there was a highly significant positive correlation between proliferation, as measured by Ki67 and AI samples (rho=0.60, P <0.001), Figure 1 .
The plots below compare improvements in Comm, SEC, and MI which were all highly significant (mean change in Comm = 23% (19–27%), SEC = 19% (13–27%), MI = 22% (17–29%), all p -values < 0.001).
An ANOVA on centroid size with skull and method as factors showed that the method itself was not significant (p = 0.06), while skull and observer were highly significant (p < 0.001) (Table 3 ).
However, when the word recognition ability was compared between the intensities, a highly significant difference was observed with a high effect size (F (4) =1,400.87, p <0.001, η 2 =0.98), indicating that word recognition scores differed.
Despite the number of fibers outside the areas are highly significant (both P<0.001), injured BALB-neuT fits significantly better than injured BALB/c group (P<0.001), that is consistent with the enhanced function recovery seen for this group by means of grasping test.
The COX activity shows highly significant reductions in FA patients ( p < 0.001).
There was a highly significant association between sun exposure duration and vitamin D status ( p < 0.001).
However, annual household income showed a highly significant association (p < 0.001), and detailed analysis indicates that individuals with an annual income between 30,000 and 60,000 AED (0, IQR: 0, 3) had lower levels of practice regarding precision medicine compared to those earning less than 5,000 AED (3, IQR: 2.5,3) and between 5,000 and 30,000 AED (3, IQR: 0,4).
A highly significant increase was observed (P < 0.001).
As shown in Table 5 , the results of testing the hypotheses regarding the correlations among factors influencing learning resilience are as follows: academic self-efficacy and perceived campus belonging exhibit highly significant correlations with learning resilience at the P < 0.001 level; learning climate shows less significant correlation with learning resilience at the P < 0.05 level; Social relationships and learning resilience exhibit a significant correlation at the P < 0.01 level; however, the relationship between learning environment and learning resilience is less significant at the P < 0.05 level.
The significance threshold was set at p < 0.05, with highly significant differences indicated by p ≤ 0.001.
There was a strong and highly significant association between baseline Ntx and the occurrence of a skeletal complication ( P <0.001; test of association).
All other parameters examined showed a highly significant difference ( p < 0.001).
This moderation effect was observed in women (£52–100 k per year: β = 0.086, 95%CI [0.073 to 0.100]; <£18 k: β = 0.111, 95%CI [0.098 to 0.123], p = 0.002) and not men (β = 0.054, 95%CI [0.044 to 0.064] vs β = 0.059, 95%CI [0.047 to 0.070], p = 0.006), although the sex difference failed to reach statistical significance in a three-way interaction term corrected for multiple testing (p = 0.001).
The results demonstrated a highly significant baseline difference in waterbird composition between the impact and control lakes (Treatment effect: F 1,14 = 8.071, p = 0.001), reflecting inherent habitat variations.