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 < 9.14 × 10 −140.0× alphaqualifiedgold
Genetic correlations between each pair of traits were moderate in magnitude and were all highly significant ( p < 9.14 × 10 −14 for Levene’s test for variance heterogeneity; Tables 1 and S22 ), indicating that the continua of latent traits estimated from the population in this study shared genetic contribution with phenotypes used in case-control analyses.
highly significantp = 9.93 × 10 −140.0× alphaqualifiedgold
Pearson’s Chi-squared test for proportions indicated a highly significant increase (χ 2 = 55.38; p = 9.93 × 10 −14 ) of HCAIs in all ACHs, together with a statistically significant increase in surgical departments, despite fewer patient-days in surgical departments in 2023.
highly significant−log( p ) = 130.0× alphaqualifiedgold
This analysis demonstrated that there was highly significant overlap between the genes for DEG-splicing and DEG-methylation (−log( p ) = 13; p = 2 × 10 −6 for both) and between CNV and SNV genes (−log( p ) = 3.1; p = 0.045) (significant = score > 3 = −log (0.05) for p = 0.05) ( Figure 1 A).
highly significantp<10 −130.0× alphaqualifiedgold
Our risk score analysis using the sum of all 54 (both genotyped and well imputed) GWAS-significant risk alleles as a predictor of T2D risk in the Singapore Chinese Health Study population, while highly significant statistically (p<10 −13 ), showed per-allele ORs that are smaller on average (1.05) than the mean (1.16) of the published ORs for these alleles or of the mean (1.07) of the single SNP ORs estimated in this study.
highly significantP < 10 −130.0× alphaqualifiedgold
This observation was highly significant for the GPT-4o model using shared bigrams (Wilcoxon rank sum, P < 10 −13 for KEGG, P < 10 −5 for Reactome, and P < 10 −5 for WikiPathways) and cosine similarity (Wilcoxon rank sum, P < 10 −11 for KEGG, P < 10 −17 for Reactome, and P < 10 −9 for WikiPathways) as evaluation metrics.
highly significantp = 1.10E-130.0× alphaqualifiedgold
Our multivariate linear regression model was overall highly significant (p = 1.10E-13; F = 15.71 on 9 and 70 degrees of freedom; adjusted r 2 = 0.63) and the residuals of the regression for the adhesive force were found to be normally distributed (p = 0.88; W = 0.99).