Relating the absolute value of the relative residual with plot size using simple linear regression model indicated that there was a highly significant effect of plot size ( p < 0.0001).
← all phrases
“highly significant”
Sighted at
p=0.09
In the literature
The correlation coefficient between drip loss and colour score of LM was negative and highly significant (r = −0.62, P < 10 −4 ); two adjacent SNPs associated with both traits were within a region of 11.12 Mb (between 84.83 and 95.95 Mb) on SSC9, which indicates that this region may contain a pleiotropic QTL (Table 3 ).
The ANOVA of FCCCD demonstrated that the model used for CNPs green synthesis was highly significant, as was evident from the model F -value of 182.74 with a very low P- value of < 0.0001 (Table 2 ).
The test was highly significant (QM[df = 1] = 73.32, p < 0.0001), providing strong evidence of small-study effects and/or selective reporting.
Nonetheless, it would be incorrect to state that we found “no significant reduction in BMI [Body Mass Index] z-scores in the total sample”; in fact, analysis of the total sample indicated a highly significant (p < 0.0001), though modest decrease of 0.06 in BMI-for-Age Z score over the course of the school year.
ELISA assessment of IL1 beta and RANKL serum concentration The mean concentrations of IL-1β (8666 ± 299.62) and RANKL (514.16 ± 44.35) in the EPD group revealed a highly significant (P = 0.0001) elevation in their expression in comparison to the healthy control group.
The chi-square test for model fit was highly significant ( χ 2 (df = 5) = 92.83, P < 0.0001).
For pTau181, we observed highly significant effect modification by amyloid status (interaction β = 0.65, p < 0.0001).
In the validation cohort, BC samples were stratified by the mean of MRI_RiskScore, and highly significant differences in DFS were observed between high- and low-risk samples ( Figure 6B , log-rank p -value < 0.0001).
Statistical analysis of GRP78 expression confirmed a highly significant reduction (**** p < 0.0001) in GRP78 intensity in GFAP astrocytes (Fig. 10 D) and NeuN neurons (Fig. 10 E) of TG2 KO samples.
Results: A highly significant main effect of Brain Region was observed ( F (5,36) = 59.16, p < 0.0001), confirming the presence of a statistically distinct performance gradient across regions.
The difference between patients and controls is highly significant ( P < 0.0001).
Haematological Parameters Comparing infected and non-infected tilapias, the infected tilapias show a highly significant increase in white blood cells count compared to non-infected ones ( p < 0.0001).
The relationship between this calculated projected area (PA) and the true leaf area should diminish over time, as plant architecture and leaf self-shading cannot be corrected from a single photo; however, correlations between average PA and average biomass remained highly significant on day 14 ( r = 0.67; P < 0.0001).
In contrast, the change in lesion volume (ΔLV) between baseline and follow-up was highly significant (mean: 1.08 ± 1.45 vs −0.65 ± 1.06 ml; p < 0.0001) and remained robust after FDR correction ( q = 0.0009).
However, the increase in the fitness cost for growth in the biofilm was highly significant ( P < 0.0001 by a two-tailed t test) for streptomycin ( rpsL K42R) and rifampicin ( rpoB S531L) resistance.
Similarly, arterial oxygen pressure saw a more pronounced increase in the observation group (13.18 ± 1.92 mm Hg) compared to the control group (9.92 ± 1.02 mm Hg), with a highly significant difference ( P < .0001) (Fig. 1 B).
Specifically, the Na, Tb, Alb, age, and Cr showed highly significant associations with survival (p < 0.0001 for Na, p = 0.0055 for Tb, p = 0.00016 for Alb, p < 0.0001 for age, and p = 0.036 for Cr).
The analysis of variance (ANOVA) presented in Table 3 offers a detailed statistical evaluation of the second-order polynomial model developed to predict the centric efficiency factor (ξγ) as a function of the footing spacing ratio (S/B) and the load eccentricity ratio (e/B).The overall model is highly significant, with a very high F-value of 127.59 and a p-value < 0.0001, indicating that the selected regression equation reliably explains a substantial portion of the variability in the response variable.
A highly significant elevation of IL-1α, IL1ß, TNF-α in patients of group C ( p = 0.0001) and a significant elevation of CD4+ cells in patients of group B ( p = 0.005) was shown.
The differences between groups A and B in the accumulated survival (Kaplan-Meier) were highly significant (log rank P value < 0.0001).
PTEN Deletion Correlated With Pathology Stage, Extracapsular Extension, and Seminal Vesicle Invasion PTEN deletion status showed a highly significant correlation with pathologic stage ( P < 0.0001).
The log-rank test confirmed highly significant differences between categories (χ 2 = 517.7, df = 2, p < 0.0001), while the log-rank test for trend supported a strong linear association between increasing frailty and decreasing survival (χ 2 = 514.6, p < 0.0001).
Results We observed a highly significant correlation between the storage time of pRBC units and a drop in pH, as well as an increase in potassium and lactate of stored red cells ( p < 0.0001).
Multiple regression fitting of the data from Table 3 yielded the following second-order polynomial regression equation: Y = 1.08 + 0.0446A + 0.0190B + 0.0427C − 0.0040AB − 0.0318AC − 0.0327BC − 0.1740A 2 − 0.2231B 2 − 0.2133C 2 As shown in Table 3 the model was highly significant ( p < 0.0001), and the lack of fit was not significant ( p = 0.3247 > 0.05).