An r -value of 0.97 shows very strong correlation between CFB and GCB, which was statistically highly significant ( P < 0.0001).
Excerpts
Comparing the significant hypermethylated probes from CBCS cluster 3 with those from the `methyl deviator' signature, each identified from the 1505 CpG-probe GoldenGate background, we observed a highly significant correlation ( P <0.0001, Fisher's exact test), even though different algorithms were employed to derive each of these signatures.
9b ) in plasma, and these associations were highly significant ( p < 0.0001, Spearman test).
showed a trendP < 0.0001
The Cochran Armitage test showed a trend towards decreasing CT use for CD overall ( P < 0.0001) and CD induction, ( P = 0.0024).
The mean QoL domains scores showed a decreasing trend with increasing motor dysfunction of the child, with a statistical association for physical ( r = −0.327, P < 0.0001) and psychological domains ( r = −0.440, P < 0.0001).
Influence of light treatment on plant height was highly significant ( p < 0.0001).
Furthermore, whereas the difference in the Kd for SUFU binding between mock-treated and ERK2-treated wild-type GLI1 was highly significant ( P < 0.0001), the difference between mock-treated and ERK2-treated GLI1 7A was not statistically significant ( P = 0.57).
As shown in TABLE 3 , the model difference was extremely significant ( p ‐value < .0001), and the Lack of Fit was not significant ( p ‐value = .1139 > .05).
NM_011979 ) showed a highly significant (P < 0.0001) 12-fold difference in mRNA expression level between A/J and AcB55 (AcB55 > A/J; Fig. 2 , boxed area).
By an adaption of the binomial test this level of success was highly significant (p<0.0001).
Actual renal clearance during subnormothermic machine perfusion, however, yielded a much closer and highly significant correlation ( r 2 = 0·82; P = 0·0001) with ulterior kidney function upon reperfusion.
The calculated clonogenic VAF was lower than the one calculated using NGS of whole blood, but both VAFs showed a highly significant correlation (Fig. 2a ; p < 0.0001).
Highly significant ( P < 0.0001) decrease in fasting PG and 2 h PP-PG, HbA1c, ASL, ALT, fasting total cholesterol, LDL, TG, and increase in HDL were observed after bariatric surgery.
The statistical analysis shows highly significant improvements across all knowledge, attitude, and practice items (all p = 0.0001), indicating that the intervention had a measurable impact on participants’ learning outcomes.
The regression indicated, using the Nagelkerke pseudo-R 2 , that 22% of the variance in HCW abuse was accounted for by these two predictor variables, with externally assessed gender role being highly significant (p < 0.0001) and being exposed or identifying as an MSM to the HCW not significant as a predictor (p = 0.38).
The breadth of the responses to the 11 epitopes showed highly significant correlations with both lower pVLs ( P < 1 × 10 −4 ; r = −0.4909) and higher CD4 counts ( P < 1 × 10 −4 ; r = 0.4542) in these Japanese individuals ( Fig. 8B ).
A high number of scans for the head, chest and abdomen/pelvis had incidental findings (92%, 62% and 96%, respectively) compared with non-incidental group (80%, 26% and 46%, respectively); each group comparison was highly significant (p<0.0001).
When analyzed as a mean of all GLU injections at the same dose, the oxygen increase was highly significant ( F (12,240) = 4.13 and F (12,900) = 5.33 for slow- and rapid time resolutions; p < 0.0001), it appeared with ~40-s latency after injection onset, and peaked 30–40 s after injection offset.
30 Nevertheless these observed Procrustes errors are still statistically highly significant compared to the NULL distribution when subjected to Procrustean test ( p < 0.0001). 49 This suggests that the patterns of three IR based approaches are mostly similar to that of Raman data.
Among them, G exhibited an extremely significant effect on the angle of repose ( p < 0.0001), whereas F and J showed significant effects ( p = 0.0279 and 0.0155, respectively).
An ANOVA was performed with the task as a between-group factor and the drug condition as a within-group factor, revealing a highly significant interaction between the task and drug conditions (F (1,15) = 34.75, p<0.0001).
This change between the two groups was found to be highly significant ( P < 0.0001).
The ANOVA indicated a highly significant GxY interaction for GZn [ p < 0.0001, F (374, 563) = 1.78] and a non-significant GxY for GFe [ p = 0.06, F (374, 561) = 1.15].
Multiple regression analysis of the experimental data correlated the response and test variables according to a second-order polynomial equation: (8) EE = + 85.41 + 1.34 X 1 + 4.86 X 2 + 2.59 X 3 + 1.87 X 1 X 2 − 0.65 X 1 X 3 + 1.07 X 2 X 3 − 1.47 X 1 2 − 9.52 X 2 2 − 2.10 X 3 2 Table 1 shows that this model had highly significant fitness because its F-test had a high F-value (116.14) and a low p -value ( p < 0.0001).
There were no significant differences between the treated groups, but statistical differences between treated groups and control groups were highly significant ( P < 0.0001).