Barely Significant

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approached significancep = 0.02380.5× alpha
A significant decrease in RBD + B cells was observed when BTKi grouped patients (median = 0.12 per 10 6 lymphocytes) and treatment naïve (median = 41.8 per 10 6 lymphocytes) patients, that approached significance ( p = 0.0238) (Fig. 4 B).
not quite significantp = 0.0240.5× alphagold
Results Changes at community and guild levels In general, species richness in local communities was lower in 2016 than in 1990/1991, although the difference was not quite significant when controlling for multiple comparisons (Fig. 1a ; Wilcoxon signed-rank test, Z = −2.263, p = 0.024; the critical p - value using the B-Y method is p = 0.0219).
nominally significantP = 0.0240.5× alphagold
Within the allergic diseases and moderate-to-severe asthma gene-sets, FLG was nominally significant in the loss-of-function burden test (P = 0.024, OR = 1.473), and eight additional genes passed nominal significance in the high or moderate (PolyPhen > 0.5) impact burden test ( RERE, IQCB1, PPP2R3C, PITPNM2, DYNAP, TSLP, EAF2, RASA2) (Supplemental Tables S9 and S10 ).
marginally significantP = 0.0240.5× alphagold
4 , right panel); (b) for HLA-I, there was a marginally significant effect of Gene (P = 0.024, F-test), with higher PBA values for gene C (Fig. 5 A), whereas the Virus × Gene effect was not statistically significant (P = 0.166, Greenhouse–Geisser test) (Fig. 5 B); (c) For HLA-II, there was a significant effect of Gene (P = 0.011, F-test), with higher PBA values for gene DQB1 (Fig. 6 A), and the Virus × Gene effect was highly significant (P < 0.001, Greenhouse–Geisser test) (Fig. 6 B).
only marginally significantp = 0.0250.5× alphagold
As seen, the deficits in FFM and FFMI among children included by WLZ-O compared to MUAC-O were greater among stunted compared to non-stunted children, although only marginally significant for the FFMI (interactions non-stunted children vs stunted children and admission criteria with respect to FFM, p = 0.025, and FFMI, p = 0.078).
slight significancep = 0.0250.5× alphaqualifiedgold
In multivariable logistic regression analysis including geographic variables only, variable “[number of] Distinct states” was strongly associated with higher odds of success (OR = 1.04, p = 4.57e-36), while trials conducted in more rural settings had lower odds of success with slight significance (OR = 0.86, p = 0.025) as shown in Supplementary Table S6.