This association was statistically highly significant ( P -value < 0.001).
Excerpts
Results displayed highly significant (P < 0.001) model fitness with ( F = 533.28, 16594.74, 243.03, 0.72 and 1525.50) corrected model, intercept, concentration, replications and time period.
Compared with the derivation set, there were highly significant differences across nearly all baseline variables ( p < 0.001), thereby underscoring the robustness and generalizability of the developed predictive model.
The main effect of behavior type was highly significant, F (2,87) = 27.90, P < 0.001, ηp2 = 0.243.
Age contributed significantly to FA variance in both clusters, as expected given that it is well known to correlate with FA ( Sullivan & Pfefferbaum, 2006 ), but the contribution of diagnosis remained highly significant as an explanatory factor of FA variance after controlling for age (for the ‘SZ < Control’ cluster: F = 26.99, df = 2, p < 0.001; for the ‘BD < Control’ cluster: F = 28.51, df = 2, p < 0.001).
lata , pure cultures that were exposed to 79 at.% Cu surface, a linear increase of the metabolic activity was followed by an exponential rise after 18 h of incubation, resulting in a highly significant ( p < 0.001; 20 h into alamarBlue: 79 at.% Cu 58%; PC 113%) difference compared to the positive control.
Results The genetic polymorphism in COL1A2 PvuII was found to be associated with the risk of dental fluorosis which was highly significant (p < 0.001).
The inter-group difference was tested through anosim analysis, and the results indicated that the difference between the groups was highly significant (R = 0.7215, p = 0.0010), implying that the beta diversity of the gut microbiome in diabetic mice was significantly improved by TFs intervention, consistent with the results of alpha diversity analysis. 3.4.
On comparison of hs-CRP levels in grade 2 and grade 3, the difference was highly significant with P < 0.001.
In line this view, a repeated-measures ANOVA on reaction time during noTMS trials with task (detection, angle judgment), TMS type (sham, real), and context (interleaved, blocked) as within subject factors revealed a highly significant effect of context ( F (1,13) = 59.940, p < .001) and an effect of task ( F (1,13) = 379.706, p < .001) due to differences in task difficulty.
A moderately significant correlation ( r [105] = 0.424, P < .001) was found between bleeding occurrences and hospital length of stay.
At 12 months, APΔE9 mice reached the goal arm only 50% of the trials compared with 70% for the WT controls, reaching statistical significance ( P <0.01), while the APΔE9/RanBP9 triple-transgenic mice made correct choices only 34% of the times, which was also highly significant ( P <0.001).
Although the sample sizes were reduced, the significance of the associations reported remained highly significant: The odds ratio calculated from alignments between A. thaliana and A. lyrata orthologous was 1.17 with a Z score of 16.23 ( P < 0.001), whereas the tests calculated on alignments between rice and B . distachyon gave an odds ratio of 1.18 ( Z = 23.88; P < 0.001) and 1.45 ( Z = 8.23; P < 0.001) for rice low-GC and high-GC data sets, respectively ( table 2 ).
In Group B, improvement in flexion (18.25%) and extension (38.57%) was noted which was statistically highly significant ( P < 0.001).
ASE, on the other hand, showed a decreasing trend, being highest in freshman year (M = 3.606, SD = 0.693) and lowest in senior year (M = 2.608, SD = 0.617), F = 24.800, p < 0.001.
However GBI scores, after the use of all four mouthwashes when compared to baseline GBI scores were highly significant ( P < 0.001) [ Table 3 ].
The correlation between both matrices was highly significant ( r =0.98; P <0.001), indicating a very good fit of the quantitative estimates.
This improvement was also statistically highly significant ( P < 0.001) [ Table 4 ].
A Pearson’s correlation, performed to directly compare the magnitude of performance for IFR and ISR at the same list lengths and serial positions, resulted in a highly significant, strong, positive correlation, r (44) = 0.858, p < .001.
The other eight factors demonstrated highly significant associations with LST ( p < 0.001), with the explanatory power ranked as follows: NDVI (0.500) > Land Cover (0.463) > Building Height (0.326) > Building Density (0.277) > Population Density (0.262) > Road Density (0.140) > Slope (0.116) > Elevation (0.110).
The significance level for the calculations was set as follows: significant, p ≤ 0.05; very significant, p ≤ 0.01; and highly significant, p ≤ 0.001, using the normal distribution of the variables.
A p < 0.05 (*) was considered significant, p < 0.01 (**) was highly significant, and p < 0.001 (***) was very highly significant.
A highly significant correlation was highlighted with the Standard Progressive Matrices Subtest of the Raven test (r = 0.34, p < 0.001), and a value close to significance was found with WISC-V matrices (r = −0.13, p = 0.08).
Additive and dominance effects for individual SNPs were highly significant ( P < 0.001) and nearly identical across the linkage group 2C haploblock within each population (File S3).
General linear analysis shows a highly significant difference ( p < 0.001) between the normal gravity and simulated microgravity populations when the 0-time point is omitted indicating that adaptation of this phenotype is specific to the environment.