These observations were supported by highly significant effects of Period (F (1,17) = 89.00 P < 0.0001), Session (F (7,119) = 28.51, P < 0.0001) and of the Session X Period interaction (F (7,119) = 11.69, P < 0.0001).
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All the psychosocial factors— perceived social norms, conditions facilitating CIM, affect, perceived consequences for patients and staff, descriptive norms, structural facilitating conditions, past behaviour and personal normative beliefs —were highly significant ( p < 0.0001).
Through statistical analysis using Student’s t-test, we observed highly significant differences in anti-Xa assay results between bleeding and non-bleeding groups ( p < 0.0001) at both peak and trough times.
When we compare the average impact factor of the 56 scientific publications that were echoed by newspapers (17.1±2.1 mean ± SEM) to that of the 56 publications that were not echoed (6.4±1.0 mean ± SEM), the difference is highly significant (unpaired t test: p<0.0001).
Cytocentrifugation techniques were better than modified brush cytology technique and modified scrape cytology technique and the values were statistically highly significant ( P <0.0001).
To test for the scalar invariance of the controlling-behavior items, the ∆CFI between the configural model and the scalar model was not within its recommended range of ≤ 0.002 [ 34 ], and the χ 2 difference test comparing the nested scalar model with the configural model was highly significant, at p <.0001.
Based on this criterion, the PWM from the 275 5′ ss and that from the 301 3′ ss are both highly significant ( P < 0.0001).
The analysis revealed a highly significant influence of pH on Cr( vi ) photoreduction efficiency ( F = 762.06, p < 0.0001), with an R 2 = 0.9965, confirming that pH accounted for over 99% of the total variation in removal performance.
Lens transmission and pupil responses to blue (470 nm) light Lens transmission of blue light in relation to age Our results revealed a highly significant linear decrease in blue (a peak at 480 nm) light transmission through the lens with increasing age (r = −0.91, p < 0.0001, transmission = 1.08–(0.01 * age), see Figure 4 ).
Compared with the NC group, the TAA-treated group presented a highly significant increase in the serum total and direct bilirubin concentrations ( P <0.0001).
Despite its simplicity, our model was highly significant (P<0.0001) and explained 24% of the variation in the occurrence of stop codons among introns.
kudriavzevii ITMLB97, the best correlation models were those produced from inulin ( Q 2 = 0.93) and BS-juice ( Q 2 = 0.93), which had a highly significant effect ( p < 0.0001) on the MIR profiles.
For women, only patients <65 years showed a decreasing trend (β = −32.3, P < 0.0001).
Relationship between patterns of CCSVI and clinical course We also found a highly significant difference in the distribution of the clinical courses among the CCSVI patterns (p<0.0001, χ 2 test) ( table 4 ).
The chi-square test revealed a highly significant association between receiving health education and overall satisfaction (χ2 = 148.84, p < 0.0001).
The differences in OS across the whole group of patients were highly significant ( p < 0.0001; Fig. 2 c).
The regressions implicating altitude and latitude of provenances were highly significant ( P < 0.0001), resulting in R 2 ranging between 0.21 and 0.51 (Table 2 ).
The resulting regression equation is as follows: (1) Y = 80.03 + 11.13 A − 0.6750 B − 9.75 C − 0.125 AB + 1.93 AC − 3.43 BC − 7.41 A 2 − 1.76 B 2 − 11.61 C 2 According to the analysis of variance results ( Table 3 ), the model was highly significant ( p < 0.0001), while the lack-of-fit term was not significant ( p = 0.1019 > 0.05), indicating that the model was well-fitted.
The association between the APOA5 -1131 T>C polymorphism and higher levels of TC under dominant model was significant in East Asians, and marginally significant in European descendents: SMD = 0.09, 95% CI (0.05, 0.13), P < 0.0001, P heterogeneity = 0.69, and SMD = 0.07, 95% CI (-0.00, 0.15), P = 0.05, respectively (Table 1 ).
Conversely, when false negatives were regarded as more critical, the standardized examination again yielded a substantially higher average kappa (0.59, SE = 0.023) relative to the non-standardized method (0.45, SE = 0.027), with this difference being highly significant ( p < 0.0001) and a 95% confidence interval ranging from 0.07 to 0.21.
A nonparametric longitudinal factorial analysis (nparLFD) on the interaction of time and IP was highly significant (p < 0.0001) indicating that the decrease in anxiety scores was definitely due to the intervention.
Analysis assessing model fit revealed a better fit for the model including CASP-12 score, depressive symptoms, age and sex (Bayes information criterion 42,354.75) compared with the same model excluding CASP-12 score (Bayes information criterion 42,402.88) (a lower Bayes information criterion score indicates a better model fit); this difference was highly significant ( p < 0.0001).
Highly significant differences were observed among the genotypes ( P < 0.0001) across all traits. β-carotene ranged from 0.028 to 0.763 μg/g, lutein from 0.11 to 4.79 μg/g, and zeaxanthin from 0.05 to 1.69 μg/g, with total carotenoids reaching up to 9.15 μg/g.
Correlations of SAGE and eSAGE to MoCA and MMSE are also highly significant. eSAGE comparisons to SAGE Spearman correlation of SAGE versus eSAGE was 0.882 ( p < 0.0001). eSAGE and SAGE are related by the formula: eSAGE score = –1.05 + 0.99 × SAGE score (Fig. 2 ).
Postmortem histopathological analyses at 35 days post‐SCI confirmed improved outcomes with higher IVIg doses, with highly significant reductions in lesion volumes following treatment with either 0.5 g/kg (31% reduction; P < 0.0001), 1 g/kg (34% reduction; P < 0.0001), or 2 g/kg IVIg (27% reduction; P < 0.0001).