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 =.0751.5× alphagold
Spatial gradient of suppression The analysis on the spatial gradient of suppression showed a main effect of distractor salience ( F (1,23)=49.936, p <.001, ηp 2 =.685) and distance ( F (4,92)=18.647, p <.001, ηp 2 =.448) as well as a marginally significant interaction ( F (4,92)=2.198, p =.075, ηp 2 =.087).
marginally significantp = 0.0751.5× alphagold
When controlling for additional predetermined covariates, there was a marginally significant effect on change in HCC ( p = 0.075) with a slightly lower reduction of HCC in TZ compared to PZ (mean change (95% CI): −4.6 (−7.0; −2.3) vs. −9.4 (−11.7; −7.0) pg/mg; p = 0.053).
marginally significantp = 0.0751.5× alphagold
The correlation analysis indicated that there was a significant relationship between P3 amplitude and the P3 onset latency (r = −0.48, p = 0.039) and between P3 onset latency and the P3 peak latency (r = 0.80, p < 0.001), and a marginally significant relationship between P3 amplitude and the P3 peak latency (r = −0.42, p = 0.075). 3.2.
marginally significantP = 0.0751.5× alphagold
Secondary outcomes (subgroup analyses) The average number of drinks consumed per month at 3MFU was lower on the log scale, indicating a marginally significant reduction from BL to 3MFU for intervention versus control ( P = 0.075) (Table 2 and Fig. 2b–i ).
marginally significantP = 0.0751.5× alphagold
Factors that statistically significant with an anxiety disorder: fear of stigma or social discrimination (AOR = 3.01, 95%CI: 1.67, 5.42), history of haven’t been tested before for HIV (AOR = 3.97, 95%CI: 2.32, 6.81), and fear of having a positive result (AOR = 2.60, 95% CI: 1.55, 4.36); the burden of family size was marginally significant at 0.05 level of significance (P = 0.075).
marginally significantp-value=0.0751.5× alphagold
WQS regression showed a positive significant association between the mixture of metals and fasting glucose (β = 0.87; 95%CI 0.14, 1.61; p-value=0.023) identifying Mn, Cr and Cu as the elements with the higher weights, while a marginally significant association was found between the metal mixture and blood creatinine (β = 0.01; 95%CI=-0.001, 0.02; p-value=0.075) where Cd and Ti showed the highest weight.