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

The possible loss in significance might stem from interconversion of effects between d and r (such conversions are known to very slightly bias values; Schmidt and Hunter, 2015 ) and from rounding down to two decimal places (so as to homogenize the reporting of each effect across studies), both of which may make marginally significant d values reported in one study marginally non-significant when recomputed for meta-analysis.
There were no statistical differences for all of the demographic variables between the two treatment conditions except for a marginally significant difference in the age variable, which will be included as a control in regressions. 3.2 Aggregate results In line with other studies in the economic literature, we cannot verify participants’ answers to directly observe lying for each individual trial.
In the systematic review and meta-analysis of studies addressing host genetic factors implicated in five common respiratory tract infectious diseases—i.e tuberculosis, influenza, respiratory syncytial virus (RSV) and SARS-CoV—published in 2015 [ 14 ], Patarčić and co-workers reported IL4 as the single result that was significant in pooled analyses, and marginally significant in disease-specific meta-analyses.
Similarly, indirect effect was found to be significant from external control to stress reduction through (negative) active coping ( b = −0.81, 95% BCCI [−1.45, −0.43]), while the indirect effect from external control to stress reduction through avoidant coping was marginally significant ( b = −0.39, 90% BCCI [−0.79, −0.05]).
Similarly, we found marginally significant associations between COVID-19 mortality rates and PM 2.5 , when controlling for co-pollutants and covariates, although the magnitude and strength of this association observed in the current analysis were weaker, mainly due to our control of the spatial trends, co-pollutants, and residual autocorrelation, which may have confounded the previous study findings.