Barely Significant
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“clearly significant”

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In the literature

clearly significantP < 0.0010.0× alphaqualified
Reversing the causal ordering (hs-CRP → index → CircS) changed the picture: both the CHG index and METS-IR produced clearly significant indirect effects (both ACME P < 0.001), pointing toward a model in which systemic inflammation feeds into CircS risk partly by perturbing atherogenic lipid handling and insulin homeostasis.
clearly significantP < 0.0010.0× alphaqualified
Confirming the MS data, T cells had intracellular levels of C3, and confirming the translocation observed in the MS data, the quantitative data from the images of C3 staining showed slightly higher C3 abundance in the nucleus compared to the cytosol upon TCR stimulation which was clearly significant ( P < 0.001) ( Figure 2D ).
clearly significantp < 0.0010.0× alphaqualified
Nevertheless, the effect was clearly significant and similar in magnitude, to that it was found in the model without controlling, considering the subset of patients ≥70 years old (absolute increase = 2.8%; p < 0.001) and of the male gender (absolute increase = 2%, p = 0.03).
clearly significantp < 0.0010.0× alphaqualified
Moreover, the second-step modeling revealed a clearly significant full-null model comparison (χ 2 = 185.6, df = 69, p < 0.001) indicating that cycle number and/or species (monkey or human) and/or stage (discrimination or reversal) and/or feature (color, direction, or shape) and/or any of the interactions between them or with training type significantly contributed to the response.
clearly significantp = 0.00150.0× alphaqualified
Although this increase was clearly significant (** p = 0.0015), considering that the effect is relatively small and only found at the highest dose point one cannot exclude the possibility that a confounding factor (for instance cell cycle arrest or changes on chromatin architecture) underlies this difference.
clearly significantP = 0.0020.0× alphaqualified
Models Midsession reversal, anticipatory errors (model 1) The predictors trial number , session number , group and/or their interactions had a clear effect on the outcome variable error probability , as demonstrated by the full-null model comparison, which was clearly significant (likelihood ratio test: χ 2 = 29.049, df = 11, P = 0.002).
clearly significantp = 0.0020.0× alphaqualified
The results of the Long-Rank test for the different types of intoxication showed a chi-square of 12.41 with a clearly significant p ( p = 0.002), indicating heterogenicity for the “suicidal” type (82.4%) and the “abusive/recreational” type (89.3%), types presenting the highest number of events (first readmission after the index admission).