With respect to its role in differentiating between necrotic and viable tumor regions, a feature was deemed highly significant if P < 0.001, significant if 0.001 ≤ P < 0.05, and not significant if P ≥ 0.05.
Excerpts
The trend for increasing risk of low vitamin D with fairer skin types was highly significant despite adjustment for all confounders (p = 0.001).
Cross-correlation analysis showed that the correlation between freezing and reactivations was highly significant (r = 0.9657, p<0.001).
Statistical significance (p<0.05) is indicated by a single asterisks or double asterisks if highly significant (p<0.001).
The analysis revealed that /t/-realisation has a highly significant effect on its duration (F(4, 20) = 24.559; p<0.001).
Therefore, the Chi2 test was highly significant ( P <0.001) and the I2 statistic was 98.8%.
All values were considered significant at P <0.05, and highly significant at P <0.001.
The difference is highly significant in a t -test. ***: P<0.001 (χ 2 test).
In contrast, the CPP for domestic Canadian papers was 16.99, a highly significant difference (P<0.001).
Specifically, the relationships between the two smallest size classes (50–75 μm and 75–100 μm) of zooplankton and the larval fish density were highly significant ( p < 0.001 and p = 0.001; Fig 3A and 3B , S3 Table ).
Overall Response Patterns in Coral Host and Symbiodinium Cells It should be noted that, in all 18 two-way ANOVAs, viable cell frequency, apoptotic cell frequency, and necrotic cell frequency exhibited highly significant changes (p<0.001) in response to increasing experimental temperatures.
A clear trend observed in wealth index, women from richest wealth group revealed more than thirteen-times higher AOR of 13.451 (5.231 to 34.589 at 95% CI, p < 0.001) for institutional deliveries compared to poorest wealth group, which was statistically significant.
Data are shown in mean ± SD (n = 4) and comparisons to the control (i.e., expression levels of non-stimulated cells) are marked as *** very highly significant (P<0.001), ** highly significant (P<0.01), or * significant (P<0.05).
batrachus showed highly significant negative correlation ( p <0.001) with ash content (% wet mass) reared in T1 by feeding 25% of crude protein, and significant ( p < 0.01) in T2, T3 and T6; while non-significant correlation was observed in T4 and T5.
Eight energy metabolism pathways (oxidative phosphorylation, citrate cycle, glycolysis/gluconeogenesis, pyruvate metabolism, pentose phosphate pathway, butanoate or propanoate metabolism, synthesis and degradation of ketone bodies, and fatty acid metabolism) and four amino acid metabolism pathways (arginine and proline, phenylalanine, tryptophan, and the aliphatic amino acids valine, leucine and isoleucine metabolisms) were identified, most of them at the three stages and highly significant ( p < 0.001; Table 2 ).
Additionally, it showed excellent sampling adequacy, with a Kaiser-Meyer-Olkin (KMO) value of 0.94, and the Bartlett’s test of sphericity was highly significant (χ 2 = 3713.26, df = 276, p < 0.001), indicating strong evidence of construct validity and relationships among the variables assessed.
p <0.05 is considered significant; p <0.01 is considered highly significant; and p <0.001 is considered extremely significant.
A decreasing trend in mortality rate was observed for tuberculosis (p<0.001).
This was highly significant for the 5 and 15 mg/kg doses (p<0.001), which increased glucose levels by 24% and 69% compared to controls.
The main effect of Attention was not significant (F (1,19) = 0.0, p = 0.98, d = 0.1), but there were two highly significant interactions involving this manipulation: Condition x Attention (F (1,19) = 28.4, p < 0.001, d = 2.4) and Condition x Stage x Attention (F (5,95) = 4.6, p < 0.001, d = 1.0), indicating that the stage-related increase in ventilation was more pronounced during ST compared to DT.
In girls the difference was highly significant (18.3% of the 11 yo, vs. 25.5% of the 15 yo; p<0.001 among age groups).
Both models revealed a highly significant overall and nonlinear association between platelet levels and outcomes (overall P < 0.001; nonlinear P < 0.001). 4.
Chi-squared analysis revealed a highly significant difference in observed mortality compared with expected values between the control and burial groups (χ 2 = 66.7, df = 1, p<0.001), therefore controls were omitted from further analysis regarding burial mortality.
The multiple regression coefficient, R , from the fits to each finger was highly significant (multiple R ’s >.90, p <.001) as were each of the standardized beta coefficients for each tempo ( p ’s <.001; the only exception was finger 3′s wrist rotation at tempo 9.6 tones per second with a p -value of 0.367).
An ANOVA test revealed highly significant variation (P≤0.001) among genotypes ( Table 2 ).