Barely Significant
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“marginally significant”

26,083 sentences · 26,083 papers · 36,483 search hits before verification · confirmed specimen

Sighted at

p>=0.1

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

In the literature

marginally significantp ≥ 0.12.0× alphagold
Statistical Analysis Statistical analyses were performed using R statistical software (version 3.6.1, R Foundation, https://www.r-project.org/ , last accessed 25 October 2021), where a p -value (after Bonferroni corrections for pairwise comparisons using the t -test) of < 0.05 was considered significant ( p < 0.001 presented as **, 0.001 ≤ p < 0.05 as *), 0.05 ≤ p < 0.1 as marginally significant (presented as # ) and p ≥ 0.1 as nonsignificant (presented as ns).
marginally significantp<0.12.0× alphagold
Upon multivariate analysis and after adjusting for sex, age, and other factors that were at least marginally significant in univariate analysis (p<0.1) ( Table 2 ), high frequency of headache for the most recent 3 months following the last follow-up was related with poor functional outcomes (hazard ratio [HR], 1.06; 95% confidence interval [CI], 1.01–1.11; p=0.011) and the occurrence of cognitive dysfunction (HR, 1.05; 95% CI, 1.01–1.09; p=0.017), but not with the occurrence of cardiovascular disease (HR, 0.99; 95% CI, 0.93–1.05; p=0.905) ( Table 3 ).
marginally significantp < 0.102.0× alphagold
We observed a significant main effect of S1-R1 compatibility, F (1, 15) = 8.29, p < 0.05, partial η 2 = 0.36, and a marginally significant main effect of S1-R2 compatibility, F (1, 15) = 3.50, p < 0.10, partial η 2 = 0.19 (note that only trials of the 0 ms SOA of the joint condition were included in the present analyses), indicating faster RTs for compatible trials than for incompatible trials.
marginally significantp < 0.12.0× alphagold
Statistical analysis Multiple logistic regression models were fit for the three dependent variables (i.e., suicidality, poor general mental health and significant depressive symptoms), adjusted for background variables that were significant or marginally significant in univariate analysis ( p < 0.1).
marginally significantp < 0.12.0× alphagold
Household income significantly predicted increased levels of cooperation, with high-income individuals donating 84 p more than low-income individuals (β = 0.84 [0.09; 1.59], p < 0.05; Table S4 and Figure 2 ) People experienced a marginally significant increase in the feelings of sectarian threat during the riots, compared to before and after the riots (β = 0.25 [−0.03, 0.52], p < 0.1; Table S5 ).