“highly significant”

RESULTS: Medians of liver stiffness measurement by shear wave velocity showed a significant increase as a grade of liver fibrosis increases (p ≤ 0.0001, highly significant).

Using a degree‐constrained method of permutation to test the null ( H 0 ) versus alternative hypothesis ( H 1 ) of whether the number and degree distribution of disease‐causing genes account for the number of disease subnetworks, in each case the observed number of disease subnetworks is highly significant ( P < 10 −4 ; Supp.

The results showed a highly significant difference in MOIs among the five groups (HC group and model groups at different lesion stages) ( F (4, 29) = 209.3, p < 0.0001).

The source of variations genotype and year were significant and the genotype by year interaction was highly significant for both traits (p < 0.0001).

This analysis yielded a highly significant F-score (651.9; p < 0.0001), indicating that the OPLS-DA model was unlikely influenced by overfitting.

The resulting quadratic model for Altenusin was highly significant (ANOVA: F = 14.07, p < 0.0001, Table S2) and showed good fit ( R 2 = 0.934, R adj 2 = 0.867, R pred 2 = 0.639, Table S3 and Fig.

A highly significant association was seen between PSA recurrence and elevated SPDEF expression (P<0.0001; Fig. 4A ).

Correlations and Interactions Between Variables IgM anti-MDA-LDL antibody levels correlated strongly with total serum IgM (rho = 0.78, p < 0.0001), and there was a weaker but still highly significant correlation for IgG anti-MDA-LDL with total serum IgG (rho = 0.36, p < 0.0001) ( Table 3 ).

Mir-148a-3p exhibited a highly significant modification with a p -value < 0.0001, while mir-106a-5p had a p -value of 0.0168 when comparing the PCa group versus the BHP group.

The effects of Training Protocol and Alternate Context on discrimination ratios were analyzed using ANOVA, which yielded a highly significant effect of Alternate Context ( F (1,65) = 22.650, P < 0.0001), confirming that generalization between Contexts A and S was stronger than that between Contexts A and RFS.

Beta diversity analysis reveals a highly significant difference in community membership between the breast and skin tissue microbiota, as indicated by unweighted UniFrac analysis (MiRKAT P < 1e-4, Fig. 2E ), but the difference is not significant in weighted analysis (MiRKAT P = 0.14, Fig. 2F ), indicating that the major difference lies in the rare or less abundant lineages 22 .

The difference was highly significant (P < 0.0001; Fisher's exact test).

This difference in survival was highly significant (Gehan-Breslow-Wilcoxon p<0.0001).

The negative association between the minimal doubling time and the average number of prophages per host genome was highly significant in this much larger data set (Spearman's ρ =−0.36, P <10 −4 ), independently of host genome size ( Supplementary Figure S7 and Supplementary Table S2 ).

All the correlations between skeletal and dental stages were statistically highly significant at the P < 0.0001 significance level [ Table 4 ].

Differences between the three groups were highly significant ( n = 7, p < 0.0001 among three groups). 3.2.

Effects of v init on a max were statistically highly significant ( F 3, 213 = 1287, P < .0001).

Among tortoises in the genus Chelonoidis ( Table 1 ), highly significant differences ( p < 0.0001) were found in overall positivity and for the detected virus types between the different species, with a remarkably high positivity rate in Argentine tortoises (28.57%, 90% of which were TeHV1) compared to all of the other Chelonoidis spp. tested.

This regression was highly significant (standardized beta=0.49±0.002, t=35.25, P <0.0001, R 2 =0.34; linear regression).

The SII score also indicated a highly significant and strong predictive association with SIRS development, with a hazard ratio of 3.47 ( p < 0.0001).

Although, there was a highly significant positive correlation between the two variables in all four stages, the correlation was not strong ( r = 0.24 ± 0.03, p < 0.0001).

The chi-square analysis indicated a highly significant association between gender and cancer prevalence (χ 2 (1) = 27.535, p < 0.0001), with a higher prevalence observed among females (18.2%) compared to males (15%) in our sample.

The effect of sex on life span, expressed in terms of hazard ratio, was highly significant ( p < 0.0001), wherein males had longer life spans than females.

The model F-value of 51.97 indicates that the model was highly significant at p < 0.0001, which indicates that the sample is notable and that there is only a 0.010 percentage chance that this very large F-value could occur due to noise.

Finally, site had a highly significant effect on flower height above ground level (X 2 = 344.16, df = 2, p <0.0001).