Barely Significant
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nominally significant

7,733 sentences · 7,733 papers · 9,414 search hits before verification · confirmed specimen

Sighted at

p=0.08

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

nominally significantP < 0.051.0× alphagold
To verify the reliability of these polygenic associations, we repeated the analyses using PRS comprising only the 108 sentinel genome-wide significant schizophrenia variants 15 , based on the assumption that the effect size estimates of genome-wide significant variants should be less affected by population structure than non-significant variants; 77 of the 104 associated traits were nominally significant ( P < 0.05) based on the PRS comprising only genome-wide significant variants.
nominally significantp<0·0501.0× alphagold
All showed a concordant effect direction between the GWAS prospective and GWAS retrospective (p=0·0005, binomial sign test), with six loci nominally significant (GWAS prospective p<0·050) and one significant after Bonferroni correction for the 12 loci (rs3851357, GWAS prospective p=0·0035).
nominally significantP < 0.051.0× alphagold
Broadening our analysis to nominally significant ( P < 0.05) FRASER2 outliers showed that individuals with the dominant disorder have a significantly greater number of nominally significant splicing outliers in blood than controls (mean splicing outliers, 7,072 vs 5,267; two-tailed Mann–Whitney U -test P = 0.0112), whereas individuals with candidate biallelic variants did not (mean, 5,722 vs 5,266; P = 0.695) (Fig. 5a ).
nominally significantp < 0.051.0× alphagold
Three out of 11 HbA 1c -associated SNPs had nominally significant ( p < 0.05) associations with HbA 1c levels in at least one of the three race-ethnic groups, but altogether only four of the 33 possible associations (11 SNPs x three race-ethnic groups) were significant ( p < 0.05).
nominally significantp < 0.051.0× alphagold
Implementation of risk variables in models for different clinical contexts To determine which variables predict disease risk, we assigned a score to each variable by (1) using 10-fold cross-validated lasso regression to select the optimal model as a function of the tentatively replicated variables [ 15 ], (2) assigning one point to the variables that were retained and nominally significant ( p < 0.05) and (3) bootstrapping the previous steps 100 times.
nominally significantP < 0.051.0× alphagold
Differences between groups were nominally significant (nominal P < 0.05) if the 95% confidence interval [CI] of the group difference did not include the null value (0 for mean differences and 1 for odds ratios), but for the sake of convenience, if the nominal P ‐value in the secondary analysis is less than 0.05, it is described as significant, and if it is 0.05 or more, it is described as non‐significant.