Barely Significant
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“nominally significant”

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Sighted at

p=0.08

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

In the literature

nominally significantP < 0.051.0× alphagold
To underpin this, we further checked the directions of effect of all nominally significant a-DMSs ( P < 0.05) and found that methylation changes tended to be negatively associated with maternal smoking between 0 and 4/5 years (Fig. 4b ) and, moreover, that 721/971 (74.2%) a-DMSs showed a stronger decrease in methylation levels from 0 to 4/5 years (Additional file 1 : Table S7).
nominally significantP<0.051.0× alphagold
Nominally significant association (P<0.05) was observed for markers in: TCF7L2, RBMS1, CDKAL1, ZNF239, KCNQ1 and TCF1 and a significant bias (P<0.05) towards OR>1 was observed for markers selected from previous T2D genome-wide association studies, consistent with a role for Old World variants in susceptibility to T2D in Latin Americans.
nominally significantP < 0.051.0× alphagold
Five of the 19 SNPs demonstrated a nominally significant association with neovascular AMD (P < 0.05), of which two (rs3173798 and rs3211883) withstood Bonferroni correction for multiple testing (rs3173798, nominal P = 9.96 × 10−4, allele-specific odds ratio = 0.55; rs3211883, nominal P = 2.09 × 10−4, allele-specific odds ratio = 0.50).
nominally significantP < .051.0× alphagold
For instance, while only the association between brain network connectivity and AF survived Bonferroni correction ( P < 2.62 × 10−4), several other phenotypes showed nominally significant associations ( P < .05) with CVDs, and also, to more flexibly balance the Type I and Type II errors, We applied a false discovery rate control to the results of all IVW methods (Table S4, Supplementary Digital content, https://links.lww.com/MD/P315 ).
nominally significantP≤0.051.0× alphagold
23 We specifically identified outcomes for which meta-analyses of observational studies showed nominally significant associations (at P≤0.05), did not have large between study heterogeneity, were based on evidence from more than 500 cases (or more than 5000 total participants if the type of metric was continuous), and showed no evidence of small study effects or excess significance.