A highly significant regression model ( p < 0.001, R 2 = 0.975) was obtained: D = 0.239 × L.
Excerpts
Patients with ICM showed a highly significant increase in median CILP1 ( p < 0.001; Figure S1a ) and NT‐proBNP ( p < 0.001; Figure S1b ) concentration as compared to the controls.
INDEL genotype by vernalization treatment interactions was highly significant ( p < .001) and ranked in the same order as previously.
The results revealed a highly significant main effect on accuracy rates across all three groups (Advanced: X 2 = 387.5, df = 15, p < 0.001, Intermediate: X 2 = 392.8, df = 15, p < 0.001, Beginner: X 2 = 257.0, df = 15, p < 0.001).
In the study, the results of correlation analyses regarding patients' medical characteristics and the presence of delirium, sepsis, and SAD showed that there was a moderate, positive correlation between the presence of delirium and age ( r / p = .518/.001), mean APACHE II score ( r / p = .590/.001), and mean SOFA score ( r / p = .601/.001) and a negative highly significant correlation with the GCS score ( r / p = −.770/.001) (Table 4 ).
Between the groups as well as staining solutions, a highly significant difference was found (P < 0.001).
This is clear in the highly significant ( p < 0.001 using a chi-squared test) difference in satisfaction between the diagnosed and non-diagnosed participants of normal BMI, with the diagnosed being much less satisfied, independent of their current BMI state.
Comparison of ECW/TBW and Frailty Index Between Groups A highly significant difference was observed in the ECW/TBW ratio ( p < 0.001), with Group 2 exhibiting a higher mean value (49.4 ± 2.7%) compared to Group 1 (46.9 ± 2.6%).
Permutational Multivariate Analysis of Variance (PERMANOVA) confirmed the statistical significance of the above differences, showing highly significant variations in community composition among different degradation gradient groups (R 2 = 0.737, p = 0.001).
All of these variables had highly significant p -values ( p < 0.001), indicating meaningful differences between clusters.
Results During the study period, altogether 19 550 DEs were reported, and the annual number of error reports showed a decreasing trend ( n = 3 913 in 2015 vs. n = 2 117 in 2020, RR 0.54, p < 0.001).
From the first session onward, significant differences began to emerge ( P = 0.016 for air blast; P = 0.038 for tactile), becoming highly significant in subsequent sessions ( P < 0.001).
These teeth showed a highly significant amount more failures (>50% after 2 years; p < 0.001).
Stage 3: Item Performance Analysis Bartlett’s sphericity test was highly significant ( p < 0.001), as was the Kaiser–Meyer–Olkin (KMO) measure of sample adequacy (0.85).
2 ), with replicates as a random effect and seed host and feeding choice as fixed factors, showed highly significant effects ( p < 0.001) on eggs per seed, emergence holes, egg density, hatching success, and PAR (%).
Analysis of variance (ANOVA) with Tukey's test for non additivity was applied and it revealed highly significant correlation ( P ≤ 0.001) between items.
A similar pattern of results was found for the measure of avoidance latency, with a highly significant two-way interaction, F (12,164) = 3.0, p = .001, reflecting poorer acquisition curves in the 50 and 100 Hz groups relative to the 20 Hz and no stimulation groups ( Figure 2 , middle panel).
Although the shock index showed a slight decrease after healthcare without statistical significance or relevant correlation, a highly significant association was observed between severe trauma and cardiorespiratory arrest ( p < 0.001).
The maximum predictivity of MMSE was based on the highly significant values of semitones ( p <0.001) and the maximum sound pressure levels ( p =0.010).
Despite being highly significant, this relationship was very weak with an r of only 0.1 (PC1, r = 0.1, p<0.001, Fig. 4B ).
The results showed that tobacco leaves from different regions in China exhibited highly significant differences in chemical composition (p-value ≤ 0.001), which may be attributed to the unique geographical locations and climatic conditions of each production area.
This increase in bone thickness was statistically highly significant at coronal level (p = 0.001) and mid-root level (p = 0.02) as calculated using paired samples t -test.
Correlation of the Stenosis Individual Characteristics with Flow Velocities LL showed a positive, moderate but statistically highly significant, correlation with PSV (r = 0.19) and EDV (r = 0.20); p = 0.001 and p < 0.001, respectively.
Overall, the model was highly significant and explanatory of TTHM concentrations ( F 3,92 = 135.3, p <0.001 , R 2 = 0.82).
In this group, repeated measures ANOVA revealed a highly significant and robust main effect of time on the outcome measure (F (3, 15) = 198.98, p < 0.001), with a very large effect size (partial η 2 = 0.975).