The paired t tests between sites and weather conditions showed that pairing was highly significant ( p < 0.0001 for wet vs dry at sites A and B and site A vs B in wet and dry weather; Figure 2 C).
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The difference between the predicted frequency and the observed frequency of deletion events was highly significant ( p < 0.0001) ( Figure 4B ).
These differences were highly significant ( P < 0.0001).
Furthermore, the analysis indicates that the dsRNA construct also had a highly significant impact (p < 0.0001, Figure 3C ).
In addition, the difference between the IC 50 values of daucosterol in breast cancer and noncancerous cells was found to be statistically highly significant ( p < 0.0001) and the difference between the IC 50 values in both cell lines was found to be statistically highly significant ( p < 0.0001) ( Figure S23 ). 3.
The statistical heterogeneity was highly significant ( P < 0.0001), with prevalence rates ranging from 32 to 74%.
As showed, the regression equation for EO yield was highly significant ( F = 19.78, P < 0.0001), demonstrating that the degree of fit was better on the border of the independent variables.
3 A shows that the IpGTT produced a highly significant time-dependent increase in blood glucose concentrations in both WT (F = 23.85, p < 0.0001) and Tau-VLW (F = 14.16, p < 0.0001) mice.
Across the 2 h testing period there was a highly significant genotype by time bin effect ( F = 5.88; p<0.0001 ; Fig. 3D ).
However, the time × prototype interaction was highly significant ( p < 0.0001), indicating that the effect of time on L-Lys release depended on the prototype used. 4.
A highly significant association ( p > 0.0001) is found between age group and ABO blood group distribution.
Each Spearman correlation was highly significant ( p < 0.0001), except for the relationships of sleep with pain ( p = 0.0008), with general activity ( p = 0.0004), with walking ability ( p = 0.0068), and with relations with others ( p = 0.0029).
In particular, the difference was highly significant in the case of ALS (controls: 9098.68 ± 1210.76 pg/mL; ALS: 17,235.3 ± 1033.2; p < 0.0001), and AD (18,496.00 ± 1165.27; p < 0.001) and less in the case of ID (16,180.35 ± 1323.65; p = 0.004).
The Pearson’s correlation coefficient between these two maps was modest but highly significant (r=0.24, p<0.0001 for both smoothed and unsmoothed permuted data; confirmed through a permutation test shuffling voxel location across 100,000 iterations; Figure 2C ).
This difference was considered extremely significant (U = 3; U′ = 172, p value < 0.0001). 3.3.
Other Clinical Efficacy Results The mean changes from baseline in the IKDC subjective score, which ranges from 0 (worst result) to 100 (best result), were highly significant at all time points (i.e., P < 0.0001; including Month 3) and increased in their extent through Month 24 (LS mean increase from baseline: 41.6 ± 1.9 points; 95% CI: 37.9-45.4).
Metrics were compared using an unpaired t -test, with significance thresholds defined as p < 0.05 (significant), p < 0.01 (very significant), p < 0.001 (highly significant), and p < 0.0001 (extremely significant) [ 14 ].
The model’s intercept had an estimate of 93.53 with a standard error of 0.48, yielding a highly significant p -value ( p < 0.0001).
Both PD-1 and PD-L1 exhibited highly significant differences in expression levels between the two clusters ( P < 0.0001), with a higher expression in cluster 1.
The coefficients for the two main explanatory variables (GDP per capita and occupancy rate) are highly significant (p < 0.0001), as well as most of the control dummies, e.g., hospital level.
However, the comparison of the overall chemical profiles, via discriminant analysis, of Nosema -infected bees and their control counterparts at days 5 and 10 showed highly significant differences for each colony (Colony 98: Wilks’ λ = 0.015, F 39,92 = 7.39, p < 0.0001; Colony 120: Wilks’ λ = 0.011, F 39,.95 = 8.73, p < 0.0001; Colony 231: Wilks’ λ = 0.037, F 27,102 = 7.92, p < 0.0001; Figure 1 ).
In this CDA, all MANOVA tests yielded highly significant results ( p < 0.0001), indicating the robustness of the group separation.
We observed a highly significant nonlinear association of urinary 8-oxoGuo with serum ferritin ( P < 0.0001) and higher 8-oxoGuo concentrations for respirable iron >1,000 μg/m 3 compared to ≤57 μg/m 3 .
Differences were considered significant at a probability level of P < 0.01 (*), very significant at P < 0.001 (**) and highly significant at P < 0.0001 (***).
Equation (5) was extremely significant ( p < 0.0001) and the model was ideal ( F = 29.86).