Statistical significance has been presented as extremely significant (****, P < 0.0001), extremely significant (***, P = 0.0001 to 0.001), very significant (**, P = 0.001 to 0.01), significant (*, P = 0.01 to 0.05), and not significant (ns, P ≥ 0.05).
Excerpts
The MN frequencies were found to increase from Grade I (167.47 ± 10.66) to Grade II (184.6 ± 4.06) and Grade III (196 ± 1.58), the difference being statistically highly significant ( P < 0.0001) [ Table 3 ].
Statistical analysis using two-way ANOVA with Bonferroni post-test on a pairwise comparison of the profile of the unfertilized oocyte with mRNA profiles collected at different time points after fertilization revealed that the correlation between segment and mRNA level is extremely significant ( P < 0.0001), but that there is no effect of fertilization and time following fertilization ( P ≈ 1).
Differences in progression-free survival according to these risk groups were highly significant ( P <0.0001, overall).
10.02 ± 6.35) showed highly significant variations ( p < 0.0001).
The regression model was highly significant (F = 175.47, p < 0.0001), while the lack of fit was not significant ( p = 0.3775), indicating that the fitted quadratic model adequately described the experimental data.
In an observational study of eight patients, the association of NSF with infection status, both focal and systemic, was found to be highly significant ( P < 0.0001).
Associations between stiffness indices (MSF% and IRS) and histopathological grade of liver fibrosis were highly significant, too ( r = 0.75; p < 0.0001 for both parameters).
This difference was highly significant ( P <0.0001).
Removal of the two outliers improved the amount of variance explained by the model (76%) and turned into a highly significant relationship (r 2 adj = 0.76, F 1,14 = 49.27, P < 0.0001).
This difference was highly significant compared to all other cancer types and defined as a bona fide hotspot for CLL ( p < 0.0001, chi-square test).
All experimental TMJs with CFA injections had highly significant ( p < 0.0001) larger inflammatory infiltrates than contralateral controls (negligible infiltrate), except for the CFA + P-DEX tail group, which was not statistically different from contralateral controls.
Similarly to the CRT, PED height also showed a highly significant decrease in the responder group (median difference: − 21 μm, IQR: 36, range: [ −]307–2, p < 0.0001); while we observed no changes in PED height in the non-responder group (median difference: + 22 μm, IQR: 64, range: [ −]38–91, p = 0.1508) (Fig. 2 d–f).
Highly significant differences were observed in pairwise comparisons of Polled compared with Tianzhu, Gannan, Datong and Plateau yak ( p < 0.0001) and with non-significant differences were found between the Datong and Gannan yak breeds ( p < 0.05); however, no significant differences were observed in the comparisons of Datong versus Plateau, Datong versus Tianzhu, Tianzhu versus Gannan, Tianzhu versus Plateau, or Gannan versus Plateau yak breeds ( Supplementary Table S2 ). 3.3.
All main effects such as genotype, trial, and their interaction, were highly significant ( p < 0.0001) for all studied traits.
When the association was analyzed using 500 kb genome windows, a highly significant and positive, but very weak, correlation was found; gene density explained only 3% of the variance in off-target site density ( Figure 2C ; r = 0.17, p < 0.0001). 3.2 Targeted sequencing depth To estimate the coverage depth obtained by the bait-capture targeted sequencing approach at off-target sites, we computed the depth of coverage at pre-filtered variant sites identified by Mutect2 ( Figure 3A ).
Moreover, during development, these offspring showed a markedly greater increase in body weight, demonstrating an apparent trend toward obesity ( P < 0.0001) ( Fig 2b ).
We found a significant trend of increasing proportions of genomically unstable tumours with increasing CIN70 quartiles (Figure 1 , p < 0.0001), suggesting that both chromosomal instability expression signatures derived through independent methods, are highly correlated.
In this prospective cohort study of 11 G-CSF mobilized allogeneic sibling donors, there was a highly significant rise in PB [CD34 + ] and [CD34 + CD38 – ] throughout day 4 ( P <0.0001), but no reductions in the morning of day 5, as might be expected with a circadian rhythm pattern.
These differences were highly significant at the 2-hour time point for both combinations (p < 0.0001).
The Kruskal-Wallis test indicates a highly significant statistical difference between IUCN conservation statuses across the different local status classes (p-value < 0.0001).
Similar male preponderance was found in other comparable studies.[ 15 18 20 ] In some cases, although there was a female preponderance in others.[ 17 ] The higher male preponderance is not biological but could be due to environmental and lifestyle factors such as higher occupational exposure towards loud noise, greater prevalence of tobacco, and alcohol abuse and their higher probabilities of visiting the hospital than women.[ 21 ] An intragroup analysis revealed that following treatment, the reduction in mean THI score, and mean TFI score from baseline was extremely significant in each group at 4 weeks, 8 weeks, and 12 weeks ( P < 0.0001).
This was confirmed by a hierarchic (nested) analysis of variance (ANOVA), which showed highly significant among-cell (subgroup) variability regardless of the parameter tested (P < 0.0001, peak amplitude, risetime, halfwidth, and foot duration were tested after logarithmic transformation, cubic-root of the charge was tested without transformation).
Both F ST (0.172) and Φ PT (0.254) statistics revealed the presence of highly significant genetic differences among sites (P <0.0001 and P <0.001 respectively) ( Table 2 ); as expected, Φ PT values exceeded those of F ST .
By aggregating the two subgroups with low risk and three subgroups with medium risk, patients could be assigned to three risk groups (high, medium, low) with a highly significant ( p < 0.0001) five-fold difference in risk (Table 5 and insert in Fig. 2 ).