Barely Significant
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“highly significant”

132,143 sentences · 132,143 papers · 160,126 search hits before verification · confirmed specimen

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p=0.09

Listed by Hankins (2013)

In the literature

highly significantp < 0.0010.0× alphaqualifiedgold
Figure 2 showed that BMI was not a prognosticator in post-menopausal patients [log-rank test, p = 0.148 ( Figure 2c )], but was a highly significant prognostic factor in pre-menopausal patients [log-rank test, p < 0.001 ( Figure 2b)] or in all patients [log-rank test, p < 0.001 ( Figure 2a )].
highly significantp-value < 0.0010.0× alphaqualifiedgold
Results Analysis of phenotypic data Statistical analysis of plant architecture variables, obtained on the 266-pea-line collection at 8 and 14 days after sowing in Exp#1 and Exp#2, respectively, revealed highly significant G effects ( p-value < 0.001) for all the variables (Supplementary Table 1 ).
highly significantp < 0.0010.0× alphaqualifiedgold
There was no main effect of prey size on pre-capture all-occurrence behaviors, but the comparison for behaviors surrounding consumption (post-capture all-occurrence behaviors and timed variables) was highly significant (MANOVA: Hotelling’s Trace = 2.3, F 24,82 = 3.9, p < 0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
Formal nested-model comparison confirmed this interpretation: adding ΔR(M–C) to a reduced model already containing Cobb_XR, TK_XR, and anthropometric covariates produced a highly significant improvement in model fit for FVC% (partial F = 103.0, p < 0.001; ΔAIC = −86.7), indicating substantial information gain rather than redundant variance.
highly significantp-values <0.0010.0× alphaqualifiedgold
Assessing the effect direction of the identified neonatal mortality predictors using logistic regression The top three variables most relatively important in the XGBoost model were also highly significant in traditional logistic regression (early breastfeeding, birth weight, and household size, all with p-values <0.001).
highly significantp < 0.0010.0× alphaqualifiedgold
Both Wilk’s Λ and Pillai’s trace were highly significant ( p < 0.001) for each of the single IVs (treatment, exposure time and cultivar), for the two-way interactions (treatment ∗ exposure time, treatment ∗ cultivar, exposure time ∗ cultivar) and the three-way interaction treatment ∗ exposure time ∗ cultivar.