Barely Significant
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“highly significant”

132,143 sentences · 132,143 papers · 160,126 search hits before verification · confirmed specimen

Sighted at

p=0.09

Listed by Hankins (2013)

In the literature

highly significantP<0.0010.0× alphaqualifiedgold
3 Results 3.1 Variability of the genotypes for weevil damage parameters All genotypes expressed highly significant differences (P<0.001) for weevil damage at the periphery, cross section, overall total damage, and larvae recovered in pots, whereas adult weevils were not significant (P<0.14).
highly significantP < 0.0010.0× alphaqualifiedgold
Multivariate logistic regression analysis for the prediction of the risk of cardiotoxicity among survivors is shown in Table 5 There was a statistically significant relation between height, BMI, and CLEF4 rs1786814 genotype and the risk of cardiotoxicity ( P = 0.03) with a highly significant difference in cumulative anthracycline dose >300 mg/m 2 and GG genotype and the risk of cardiotoxicity ( P < 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
Using a two-way analysis of variance, a highly significant difference was seen in the morphological parameters in response to different yeast concentrations ( p < 0.001), GA concentrations ( p < 0.001), and the interaction between YE and GA treatments ( p < 0.001).
highly significantp < .0010.0× alphaqualifiedgold
ied particularly well, especially after secondary saccades were executed (downward: M = 0.61, SD = 0.06; upward: M = 0.61, SD = 0.08), whereas target motion parallel to the saccade’s direction was classified less accurately in comparison (inward: M = 0.45, SD = 0.07; outward: M = 0.43, SD = 0.10)–a highly significant effect across the sample ( F ( 4 , 36 ) = 27.47 , η 2 = 0.460 , p < .001, p GG <.001).
highly significantP <0.0010.0× alphaqualifiedgold
In a random population sample comprising more than 2,000 individuals, a highly significant ( P <0.001) association was observed between hypertension and glucose intolerance, independent of the potentially confounding effects of age, sex, obesity, and anti-hypertensive medications.