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

However, the interaction term between risk perception and experience [b = 0.0774, p = 0.093, 95% CI (−0.0130, 0.1678)] is marginally significant, and ΔR 2 = 0.0078 shows a modest but theoretically relevant additional contribution of the interaction to the model.
Respondents aged 25 to 34 (OR = 0.34, P < 0.01), those aged 35 to 54 (OR = 0.39, P < 0.01), and those aged 55 and over (OR = 0.40, P = 0.01) were significantly less likely than 18 to 24 year old marijuana users to agree or strongly agree with the statement “In certain situations, I might drive high.” The age groups of 35 to 54 (OR = 0.55, P = 0.08) and 55 and over (OR = 0.51, P = 0.07) were associated with marginally significant decreases in the odds of agreeing or strongly agreeing with the statement “I might drive high even though I know I shouldn’t.” Openness to driving while high was also associated with race/ethnicity.
For green tea, consumption of 120–360 mL/day was significantly associated with a decreased risk of GBC (HR = 0.56; 95% CI, 0.32–0.97), and the association between consumption of >720 mL/day and a decreased risk of GBC was marginally significant (HR = 0.57; 95% CI, 0.32–1.01); additionally, there was a non‐significant trend of decreased EHBDC risk associated with increased volume of consumption ( P ‐trend = 0.160).
While in the India sample, the analysis with trimester exposures does not show statistically significant first-trimester effects, there is an indication of male birth reductions for exposure around nine months before birth, with marginally significant effects ( Fig. 2 D ).
Temperature and sex ratios at birth.
Proc Natl Acad Sci U S A · 2026 · PMC12933076
As the result, in the Results section, under the subheading ‘Sociodemographic characteristics of residents living near study parks’, “There were marginally significant differences in the composition of the intervention and control samples by BMI category (pre-renovation only), age category (post-renovation only), and annual household income (post-renovation only).” now reads: “There were marginally significant differences in the composition of the intervention an