“highly significant”

When comparing MD incidence between the birds challenged by Ikaros WT and Ikaros Mut, there were highly significant differences in MD incidence for both replicates 1 and 2 depending on infection with the different Ikaros alleles ( p < 0.0001 for both replicates).

The decline with age was highly significant ( p < 0.0001 in lme).

Especially the JFM average patterns attain a very strong and highly significant correlation of r = 0.98 ( p = 1.0 × 10 - 4 ).

When comparing the time ratio Z3/Z1 in both genotypes with age, a highly significant genotype effect ( p < 0.0001) was observed.

Payment Type (Per Transaction) In a sensitivity analysis classifying each payment into Grant, Hospitality, and Other categories, the Specialty × Payment Class interaction remained highly significant (F-statistic-ANOVA = 10.43, p < 0.0001).

There was a highly significant interaction between population and temperature 2 ( F 3,2126 = 15.34, P < 0.0001) indicating that the pattern of ticks questing with temperature varied between populations.

(2024) ( Paz-Ares et al., 2024 ), the OR increased to 2.67, a change that was highly significant ( P < 0.0001).

Data are presented in Table 5 and revealed a highly significant association for osteitis at the radius and the three-year radiolunate cartilage score ( P = 0.0001).

The difference in GERD-HRQL before and after RAP was highly significant (absolute reduction 22.3, P < 0.0001, 95 % CI 19.3 – 25.3).

The difference between Control and Supplemented group was overall highly significant (effect of supplement, P < 0.0001), with a significant interaction with time (P < 0.0001) as the effects were mostly measured from d42 and even stronger at d49 and d56 (mean concentration were for Control and Supplemented group respectively, of 2.9 ± 0.2, vs 7.0 ± 0.4 Log 10 copies of 16S rDNA/g of rumen content at d49 and of 2.6 ± 0.3 vs 7.7 ± 0.3 Log 10 copies of 16S rDNA/g of rumen content at d56).

The one way ANOVA test revealed a highly significant difference (P-value<0.0001) in the average number of in-chorion contractions between dose groups, and the Tukey-Kramer HSD test identified all pairwise differences as significant at a familywise error rate of 0.05.

Linear regression analysis performed using the Passing-Bablok technique showed that the highly significant relationship between these two variables is given by the quadratic equation NFA FIJI = 2.78 × 10 −4 (NFL) 2 + 0.72(NFL) + 471 (solid curve in Fig. 7 ; p < 0.0001).

There was a highly significant correlation (P<0.0001) between rice content and inorganic arsenic concentration across all infant foods.

There was a very highly significant negative correlation between the PRRSV load and the level of CSFV antibody in the CSFV MLV vaccination group ( P < 0.0001).

Detection and assessment domain Within this domain, 24% of competencies (six competences) demonstrated highly significant gaps ( p < 0.0001).

The difference of neutralizing antibody titers between cases and controls was statistically highly significant ( t test, P < .0001).

When comparing the PI and mSBI, it was found that there was a highly significant drop from baseline to 6 months ( P = 0.0001).

Group differences were highly significant ( p < 0.0001), and the scoring system was applicable to younger patients (<60 years of age) and patients with advanced or localized stages of the disease.

Our result showed that lower ureteral wall thickness was associated with a higher chance of stone passage, and the correlation was highly significant (p-value < 0.0001).

The p -values associated with the functional enrichment of genes were calculated (see Methods ) and the result was highly significant for the “Regulatory” function ( p -value < 10 −4 ) and particularly for the “Zinc-containing proteins” subfunction (see Additional file 4 : Data Sets 1).

Backward logistic regression model defining significant predictors for mortality was highly significant (Nagelkerke R 2 : 0.51, P < .0001) (Table 3 ).

The log-rank test confirmed highly significant differences across the three categories ( p < 0.0001).

The statistical analysis revealed a highly significant difference between the IC 50 of acarbose, used as a positive control, and the IC 50 of EHA ( p < 0,0001) and EA and EE ( p < 0.01). 3.3.2.

This difference was highly significant (χ 2 1 = 73.21, p < .0001).

This two- to three-fold enrichment for HGT C was highly significant (binomial GLM, estimate = 1.18, SE = 0.07, P < 0.0001; Fig. 2 ; Supplementary Table 3 ) in both species at both timepoints.