Sex had a highly significant association ( p = 0.0001) with HRBs.
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extremely significantqualified
Two-way ANOVA Sidak’s multiple comparisons test was used to compare the mean of three values obtained from three independent conditions, using GraphPad Prism version 7 (GraphPad Software, La Jolla, California, U.S.); * p < 0.05 indicates a significant result; ** p < 0.01 a very significant result, *** p < 0.001 a highly significant result; and **** p < 0.0001 an extremely significant result. 3.
Overall duration of hospitalization was significantly high in fibrinolytic group, this was 17.6± 1.95 days versus 12.09± 2.18 days in open decortication group with highly significant p-value of <0.0001 ( Table-II ).
This effect was highly significant on statistical analysis ( P < 0.0001).
On the other hand, podocyte damage groups (MCD, FSGS, MGN and amyloidosis) showed a statistically highly significant upregulation of podocyte CD73 ( p < 0.0001); the significant increase was consistent also when comparing single entities with negative controls ( p at least < 0.001).
An analysis of variance showed that the reactivity of samples from Turkish survivors and from the vaccinated group relative to the control group was highly significant (F(2,74) = 68, P<0.0001).
The difference in mathematics score was highly significant ( P value < 0.0001) between nonanemic noniron deficient (group III) and anemic iron deficient (group I), it was significant ( P value 0.001) between nonanemic noniron deficient (group III) and nonanemic iron deficient (group II).
approached significancep < 0.0001
We found that performance on the digital cognitive battery and EC tau proved to be more predictive of diagnostic status than Aβ and performance on the digital cognitive battery was qualitatively better compared to tau, and this approached significance (digital cognitive battery vs cortical Aβ p < 0.0001, EC tau vs cortical Aβ p < 0.01, digital cognitive battery vs EC tau p = 0.07).
For the TbGK protein, there was no significant difference (p = 0.08) in RPP medians values between positive and negative sera ( Fig 3A and Table 3 ) compared to TcoCB1, TbWTL, and TcWTL, which showed highly significant differences (p<0.0001) between sera from infected and non-infected cattle groups ( Fig 3B ).
Consistently, PERMANOVA indicated a highly significant strain effect ( pseudo -F 2,27 = 6.63, P = 0.0001), but non-significant effects for treatment ( pseudo -F 1,27 = 2.10, P = 0.054) and a strain:treatment interaction ( pseudo -F 2,27 = 1.62, P = 0.083). 3.3 Univariate analyses Consistent with the multivariate analyses, a linear model considering all proteins separately revealed that the abundance of 191 proteins (59.7% of total) was significantly affected (FDR-adjusted P < 0.05) by fish strain (Table S3).
In each subject the proportion of variance explained was superior in the non-shuffled data and this difference was highly significant (Wilcoxon signed rank test, all p values <.0001).
The results showed that severe/critical patients exhibited significantly higher plasma antigen concentrations compared to those in the mild and moderate groups, with a highly significant statistical difference ( p < 0.0001).
After adjustment for multiple factors, margin width was a more highly significant predictor of IBTR ( P < .0001). 22 The MP felt that, overall, the heterogeneity of the evidence between the above-reported studies did not allow for a definitive recommendation for margin widths greater than 2 mm in patients foregoing RT.
Expression profile of selected miRNA genes in AMD patients and healthy controls The RT-QPCR assay revealed that all selected miRNAs were detectable in tested materials, and the difference in miRNA expression between both sets of AMD patients and controls was highly significant (p<0.0001).
Particularly in the IL1β‐negative cells, the reduction of the SF1‐HP cells was highly significant ( p < 0.0001; Figure 5m ).
Thus, during the transition from pole to brain control in task 1, the average correlated firing between pairs of cortical neurons, measured in terms of correlation coefficient (mean ± SEM), increased from 0.02 ± 1 × 10 −4 to 0.06 ± 2 × 10 −4 , a 3-fold rise that was highly significant (Wilcoxon signed rank test, p < 0.0001).
Overall, in the investigated period, the results showed a negative trend (average Annual Percentage Change (AAPC) of −1.931, p < 0.0001).
Highly significant difference (p < 0.0001****) of expression was observed in SSc with respect to all other groups.
The impact of each factor on the model is considered highly significant ( p ≤ 0.0001), and according to the F-values, the order of the influence of extraction conditions on LRM-ELN yield is as follows: A (concentration of PEG6000) > B (relative centrifugal force) > C (incubation time), indicating that the concentration of PEG6000 is the key factor affecting the yield.
Differences between the slopes of the islet-embedded groups (FGS islets and HPI islets) and those without islets (control and hydrogel) were highly significant ( P <0.0001).
The ANOVA statistical analysis revealed highly significant differences (p<0,0001) between the MDS-UPDRS Part III scores and the HY Stage-groups.
The difference between the mean CS for each of the four test frequencies is highly significant ( F (3) = 50.48, p < 0.0001 for dyslexics and F (3) = 45.95, p < 0.0001 for normal students), supporting the hypothesis that the low spatial frequency test patterns, i.e., 0.25 and 0.5 cyc/deg, are processed differently, using probability summation across higher spatial frequency neural channels, than the higher spatial frequency test patterns, i.e., 1 and 2 cyc/deg, activating one-octave wide spatial frequency channels (Blakemore and Campbell, 1969 ).
Exogenous application of aggregated SOD1 resulted in a highly significant ( p < 0.0001) increase (from 0.85 +/− 0.42 % to 4.7 +/− 0.62 %) in the proportion of cells containing inclusions (Fig. 1d ).
One-way analysis of variance (ANOVA) indicated highly significant differences among groups ( P < 0.0001; for full statistical comparisons, see Table S1 ).
The ANOVA results demonstrated that the quadratic model was highly significant (F-value = 152.61, P < 0.0001), with a non-significant lack-of-fit term (F-value = 1.74, P = 0.2971), confirming the model’s adequacy.