For all pulmonary function test parameters (FVC, FEV 1 , FEV 1 /FVC, and PEFR), highly significant differences (P<0.0001) were observed between coal-exposed and unexposed individuals, with mean values lower in those exposed to coal ( Table 1 ).
← all phrases
“highly significant”
Sighted at
p=0.09
In the literature
Results The logistic regression model used to predict the lifetime diagnosis of hypocalcaemia in adults with 22q11·2DS was highly significant (likelihood ratio test: χ 2 = 38·2, df = 7, P < 0·0001).
A model’s highly significant influence on the response value is indicated when the model validation value is P<0.0001.
Correlation between all Smads in the ALS samples was highly significant (Fig. 1B ), with Smad1 and 5 being the strongest (Pearson coefficient of 0.88, P < 0.0001).
Regressions of environmental suitability index versus latitude were highly significant (Fig. 4 ) but with low predictive power (Fig. 4 ) by a low R -value (“black” form: R 2 = 0.0004, P < 0.0001, intercept = 0.54; “red” form: R 2 = 0.002, P < 0.0001, intercept = 0.66).
The difference between self and others was highly significant (p<0.0001), but note the high variance induced in “other” condition using pinv.
betulinus controlled and treated for all 15 isolates used were highly significant ( F = 5.77, df = 15, P < 0.0001).
}}\, + \,{1}.{75}*{\text{B}}*{\text{C}} - {6}*{\text{A}}^{{2}} - {6}*{\text{ B}}^{{2}} - {3}*{\text{C}}^{{2}}$$\end{document} RNA content = 183.89 + 0.69 ∗ A - 0.98 ∗ B + 0.22 ∗ C + 2.25 ∗ A ∗ B - 0.25 ∗ A ∗ C + 1.75 ∗ B ∗ C - 6 ∗ A 2 - 6 ∗ B 2 - 3 ∗ C 2 ANOVA revealed that the regression model was highly significant, F-value (16.45, P < 0.0001).
In the entire PRDM9 protein of 894 amino acids, only 96 amino acids are in a DNA-binding turn-helix region (8 in each of 12 ZF domains), indicating a highly significant enrichment of nonsynonymous SNPs in turn-helix residues (24/31 vs. 96/894, P<0.0001 by Fisher's exact test).
The coefficient ρ, which measures the correlation between the error terms of the two regressions that we jointly estimated in the analysis, was negative (−0.292) and highly significant ( P < 0.0001).
The difference in the number of symmetric divisions that produced two ISC daughter cells was highly significant when comparing ISCs depleted of miR-305 versus control cells ( P = 0.0001, Fisher’s exact test) ( Table 1 ).
However, in the animals exposed at 115 dB SPL, the increases in ASR amplitude were highly significant at all stimulus levels from 105–120 dB SPL ( Fig. 4D ) (F 3,80 = 38.57, P<0.0001) and followed an initial period when startle responses were decreased below control levels ( Fig. 4C ).
The differences among major gene pools were highly significant among diploid (F 5,96 = 212, p <0.0001) and marginally significant among tetraploid (F 1,39 = 4.8, p = 0.03) accessions.
RESULTS: Aqua destillata and 10% glucose showed a highly significant higher (p ≤ 0.0001) specific impedance compared to the standard 0.9% saline (factor 360).
bovis challenged (C) animals, PPDb-induced ratios for IFN-γ, IL-2, and CXCL9 showed highly significant potential as single biomarkers ( p < 0.0001).
The interaction between species and nest floor area was highly significant ( F 3,3436 = 115.12, P < 0.0001), implying that clutch size was related to nest floor area in a species-specific manner.
The regressions implicating altitude and latitude of provenances were highly significant ( P < 0.0001), resulting in R 2 ranging between 0.21 and 0.51 (Table 2 ).
Among these clinical markers of nephropathy serum adiponectin shown statistically highly significant area under the curve (0.998) with sensitivity 100% and specificity 93.33 % respectively P = 0.0001**.
This difference was highly significant (p <0.0001).
The differences where highly significant in the Wilcoxon test (z = - 3.79; p < 0.0001).
The results showed highly significant (( P < 0.0001) linear correlations ( r = 0.9784–0.9907) between the Trp values determined by GC and HPLC for both the low-normal and normal-high ranges (data not shown) and between the Trp values determined by GC and the standard fluorimetric method ( r = 0.9774) (Fig. 2 ).
Across all 4 genes, results were highly significant ( t df = 141 = −5.72, P < 0.0001), suggesting that EGC was indeed selected against around those amino acids.
Very highly significant difference was found in the distribution of lip print patterns among males and females in the entire population, group I, and group III, respectively ( P < 0.0001).
There was a highly significant correlation between CSA and echotexture grading (p = 0.0001).
Dextrose and yeast extract could act as limiting nutrients because the squared effects of the two variables were highly significant ( p < 0.0001).