This difference of 26 days between the older (less than or equal to 1986) and more recent (greater than or equal to 1987) FFD subsets is highly significant ( p < 0.0001).
Excerpts
The genome-wide overlaps were highly significant ( P < 0.0001 by Monte Carlo simulations) with most peaks overlapping either coding promoters (35.2 to 46.7%) or putative enhancers (48 to 61.2%) ( Fig. 3C ).
The results showed a highly significant correlation between meniscal injuries on MRI and intraoperative findings ( p < 0.0001).
A direct comparison of pre- and post-vaccination titers of neutralizing antibodies clearly confirms a highly significant increase in both groups (p < 0.0001).
An unpaired t test showed that this difference was highly significant ( p < 0.0001).
24.15 ± 5.43 pre-vaccination = 0.0001) and highly significant reduction when compared to the control group presented with respiratory symptoms (14.1 ± 2.7 vs. 26.5 ± 7.45, p = 0.0001).
This finding was highly significant ( p < 0.0001).
According to statistical evaluation with Fisher’s exact test of independence, the association between treatment with vaginal gel and overall improvement of cytological findings was highly significant when compared to the non-treated group ( p < 0.0001). 41 In the same study, the clearance of high-risk HPV was assessed to evaluate the efficacy of the vaginal gel.
These differences are extremely significant ( P < 0.0001 in both cases, Fisher’s exact test) and strongly suggest that the presence of NRSF/REST, but not SF-1, consensus sequences is preferentially required for interaction of SF-1 with the genomic-binding sites that it shares with NRSF/REST in H295R cells.
Preamplified samples, as compared to nonpreamplified DNA, showed an extremely significant improvement of the Ct value ( P < 0.0001), ranging from 10.0 to 14.4 for mitochondrial target, suggesting that preamplification step enhances the sensitivity of mitochondrial real-time PCR assay.
Differences between both targeting vectors and the control vector were highly significant (∗∗∗∗p < 0.0001), regardless of whether αG staining was performed with vWF or P-selectin ( Figure 3 C).
Model 2 Results Model 2 is given by: 4 q it = - 9.7530 2.5982 + 0.0072 0.0003 t + 0.9197 0.0015 q i t - 1 + 0.0501 0.0024 W i t - 1 + 0.0267 0.0041 e Lat i + 38.2003 10.6452 e Long i - 1.1578 0.2894 L a t i + 2.9320 1.0856 Long i + 2.9204 0.6886 ln Lat i + 15.8138 4.8442 ln - Long i + 0.1297 0.0259 L a t i · Long i + 0.0614 0.0278 d p t + 0.0337 0.0248 d p t - 1 + 0.0616 0.0261 d p t - 3 + 0.0043 0.0003 F I i - 4 The coefficient on the deterministic trend, 0.0072, was highly significant ( p < 0.0001), though somewhat smaller than that on initial month of production in Eq. 1 .
The model was highly significant ( p < 0.0001), while the lack-of-fit was not significant ( p = 0.9735), and the R 2 value was 0.9323, indicating that the model had good fitting and predictive ability.
Analyzing the frequency distribution with the chi-square test revealed a highly significant difference between the groups ( P < 0.0001).
Dance-compound introduction resulted in a highly significant increase in the number of dance bouts versus the solvent control (t = 5.16, d.f. = 39, Tukey-Kramer adjusted p<0.0001).
This difference was highly significant (p < 0.0001).
2B ), with a highly significant Pearson’s correlation coefficient of 0.49 ( P = 0.0001, n = 2155 voxels in five animals).
As shown in Table 1 , one-way ANOVA indicated a highly significant main effect of the immunization regimen on antibody titers ( F (3, 36) = 24.68, p < 0.0001).
Tests of the year main effect revealed a decreasing trend for wrist ( p <.0001), an increasing trend for vertebral ( p =.0012), and no statistically significant change for humerus ( p =.2226).
4 (G to I) , there was a highly significant difference in exosomal Aβ 1–42 levels between 5×FAD mice and C57BL/6 controls by iMEP ( P < 0.0001, unpaired t test).
There was a highly significant inverse effect of SSCseverity on critical COVID-19 illness ( t = −5.66, p < 0.0001).
The trim-and-fill analysis imputed two additional studies, resulting in an adjusted pooled HR of 1.24 (95% CI: 1.13–1.37), which remained highly significant ( P < .0001) and similar to primary analysis.
There was a highly significant positive correlation between glucose and glycogen (Spearman r = -0.4102, p<0.0001, S1A Fig ), and a negative correlation between pH and glycogen (Spearman r = -0.5418, p<0.0001, S1B Fig ).
Correlation coefficients ( Table 4 ) among environments for disease severity were highly significant and ranged from moderate to high ( r = 0.54 to 0.90, P < 0.0001 ).
One-way ANOVA followed by Tukey ’ s test demonstrated that the enrichment of TcIT in PM with respect to HG (160%) and TM (130%) was highly significant ( P < 0.0001 and P = 0.0001, respectively).