Gender distribution showed no significant difference between the two groups ( p = 0.6243), while prognostic status showed highly significant differences between the two groups ( p < 0.001), directly validating the prognostic prediction capability of the risk score model.
Excerpts
The highly significant ( P < 0.001) Fis value (0.161) revealed a rather high inbreeding degree within breeds.
To evaluate whether an increasing BtMV content in BtMV‐MYB‐infected plants correlates with an increased gene expression of BvMYB1 , BvDODA and BvCYP76AD1 , a linear regression model was used to prove a highly significant correlation ( r 2 ≥ 0.95, p ≤ 0.001) between increasing BtMV content and increased gene expression for the betalain biosynthesis genes (Figure 8 ).
For both INU profiles, the effect of noise was highly significant ( F = 367.28, p < 0.001 for the low dynamic, F = 50.6, p = 0.001 for the high dynamic), whereas the INU magnitude showed a much less significant effect ( F = 7.56, p = 0.0229 for the low-dynamic profile, F = 3.87, p = 0.0834 for the high-dynamic one).
While our findings were highly significant ( P < .001 for pTT-TG and dTT-TG), the correlation was weak to moderate ( r = –0.40 for pTT-TG and r = –0.593 for dTT-TG).
For all three markers, we found higher levels of staining extent in dense as compared to non-dense tissue, though for CD24 and ALDH1A1 the difference did not reach statistical significance (CD44, 6.3% vs. 2.0%, p < 0.001; CD24, 8.0% vs. 5.6%, p = 0.10; and ALDH1A1, 0.5% vs. 0.3%, p = 0.12).
This difference is highly significant (contingency chi-squared = 29 for one degree of freedom: p < 0.001).
The obtained results were interpreted as: Not significant (NS) : P > 0.05 Significant (S) : P < 0.05 or P < 0.01 Highly significant (HS) : P ≤ 0.001 Observations The following flowchart depicts the figures of the clinical study.
Highly significant ( P < 0.001) improvement is found in Prabhuta Mootrata (frequency of urine), Avila Mootrata (turbidity of urine) and Daurbalya (weakness).
There was a highly significant difference in percent Gadd45a staining between groups [Mean]: Normal 16.3%; Luminal A 65.3%; Luminal B 80.7%; HER2+ 40.5%; TN 32%, P < 0.001, ANOVA.
There was a highly significant difference in performance between the 4 dietary groups (F 1, 25 = 7.915, P<0.001), and a highly significant effect of time (F 6, 150 = 5.354, P<0.001) but no significant interaction was seen between diet and time (F 18, 150 = 0.789, NS) ( Fig. 1 A).
Six of the seven cases also showed a significant trend towards an increasing proportion of cells with greater than 2 signals per nucleus occurring with histological progression ( P < 0.001).
Two-way ANOVA revealed a highly significant difference in both factors (“group” and “time”) (p<0.001).
For AI, the main effect of group was also highly significant ( p < 0.001), accompanied by a very large effect size ( η p 2 = 0.54), showing that EG was significantly greater than NG.
This difference is statistically highly significant (P < 0.001, see Table 2).
However, mouse ingestion of 300 mg/kg ARA in milk for 15 days led to highly significant ( P < 0.001) reduction of approximately 60.0% in S. mansoni and 81.4% in S. haematobium total worm burden ( 21 ).
Results We found that the condition in which the dogs were tested had a highly significant effect on how long the dogs manipulated the apparatus (LMM, N = 20, F 2,36 = 12.478, P≤0.001, Figure 3 ).
The Spearman’s rank correlation coefficient (0.674) between the titres of LIV and TBEV PRNT 50 was highly significant ( P <0.001).
In the mixed models, all pairwise comparisons involving black‐shelled snails were highly significant, that is, B individuals on day 8 weighed far less than snails of any other color ( p < .001 for all comparisons).
The association between histological diagnosis and colposcopic grade was highly significant (p < .001) and the strength of the correlation, as assessed by the κ statistics, was fair for each specimen (A or B) and histological analysis (κ = 0.32; CI 95 %: .16-.47; and κ = 0.30; CI 95 %: .17-.44, for routine and revised analysis respectively) (Table 5 ).
There was highly significant improvement in overall knowledge score of trainees ( t = 28.124, df = 109, P < 0.001).
All predictors were highly significant ( p < 0.001), with negative coefficients for slope ( β = −0.0506, z = −4662.38), human modification (HMI; β = −20.37, z = −159.41), and distance to water ( β = −0.0001138, z = −132.22).
Statistical analysis of this difference is highly significant for both markers using two-way analysis of variance with region as a factor ( P <0.001).
Comparing the mean ESS of the 12 patients before and after 1 month of treatment: 3.99 versus 2.79, the decrease was 1.20 in the ESS score, being highly significant with a p < 0.001 (***).
A one-way analysis of covariance (ANCOVA) with group as the independent variable conducted on post-program BDI-II scores while controlling for baseline BDI-II scores revealed a highly significant effect for group, with MBCT + TAU ( M = 10.60, SD = 8.12) exhibiting lower BDI-II scores post-program than controls ( M = 25.46, SD = 14.91; F (1,22) = 22.51, p < 0.001, η p 2 = 0.505, 90% CI (0.23, 0.65); Fig. 3 ).