Barely Significant
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“marginal significance”

5,069 sentences · 5,069 papers · 6,913 search hits before verification · confirmed specimen

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p=0.07

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

In the literature

However, due to the current limited sample size, the statistical power would be inadequate, as shown by the aforementioned marginal significance even in the only positive association between HAMD17 and DAO after the Bonferroni correction in the sample of the 305 chronic medicated patients.
First, while SOFA ( p = 0.029), SI ( p = 0.050), and diabetes ( p = 0.05) demonstrated marginal significance in univariate analysis, their inclusion in the final model was justified by their non-zero coefficients in the LASSO regression, which indicates their independent predictive value despite their borderline p -values.
Additionally, dietary selenium intake showed consistent results with marginal significance (0.53 (95% CI: 0.35, 0.81); P for trend = 0.002; 0.63 (95% CI: 0.41, 0.96); P for trend = 0.027) after further adjustment for history of hypertension, diabetes, OP in parents, previous fractures (Model 2), and every interested covariate (Model 3).
To the best of my knowledge, present study is the first to use and show that unequal limb movement (hemiparesis) as an independent prognostic factor with marginal significance for unfavourable outcome at 6 months in severe HI.
However, because of the marginal significance and limitations of the cylinder formula method, this finding should be interpreted with caution. 3.3 Correlation between ultrasound cervical volume measurements The cervical volumes measured using the cylinder formula with 2D ultrasound and the VOCAL software with 3D ultrasound were correlated, as shown in Figure 5 .
Sampling and sample size The Yamane [ 37 ] formula of sample size determination, which reads as follows, was used to calculate the sample size: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{n}}\,{\rm{ = }}\frac{{\rm{N}}}{{{\rm{1 + }}\,{\rm{N}}{{\left( {\rm{e}} \right)}^{\rm{2}}}}}$$\end{document} Where e is the marginal significance level at 0.05, N is the entire population, and n is the sample size.
Key findings included: (1) Postoperative inflammation duality where CRP elevation increased risk (β=+0.692; OR = 2.00, 95%CI:1.54–2.58 per 10 mg/L increase), while paradoxical ESR reduction suggested compensatory mechanisms (β=−0.723); (2) Albumin dynamics dominated prediction (ΔAlb β=+0.537) with threshold-dependent effects—minimal risk at < 1.5 units versus exponential rise beyond this threshold; (3) Conventional predictors were displaced—diabetes retained marginal significance (β=+0.088, OR = 1.09) while ASA classification, age, and cardiac history were excluded; (4) Surgical paradoxes included preoperative hemoglobin increasing risk (β=+0.127), tourniquet time linearly accumulating risk (β=+0.101/10-min), and right-sided procedures showing protection (β=−0.056).