Barely Significant

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highly significantp < 0.00010.0× alphaqualifiedgold
At both RNA concentrations assayed, pDC-enriched PBMCs induced 10 to 19-fold higher levels of IFN-α upon transfection, with statistically highly significant differences ( p < 0.0001) in all cases; in the case of the S transcript, those levels were 1.5 higher when the dose was increased from 5 to 20 μg/mL.
highly significantp<0.00010.0× alphaqualifiedgold
70 The expression of pEGFR was investigated in recurrent NFPAs (n=47) and in non-recurrent NFPAs (n=55), and a highly significant difference was reported (p<0.0001). pEGFR positivity was greater in a higher number of recurrent NFPA and the H-scores were also higher in recurrent NFPA compared with non-recurrent (117 ± 6.0 versus 71.2 ± 3.7; p<0.0001). 17 The H-score is determined by adding the results of multiplication of the percentage of cells with staining intensity ordinal value (scored from 0 for 'no signal' to 3 for 'strong signal') with 300 possible values.
highly significantp < 0.00010.0× alphaqualifiedgold
The Egger’s test result was highly significant (t = 6.60, p < 0.0001), indicating potential asymmetry and suggesting the likelihood of publication bias ( Supplementary File S26 ). - Similarly, in the OS multivariate analysis, the funnel plot showed some studies lying outside the triangular area, consistent with significant heterogeneity.
highly significantp<0.00010.0× alphaqualifiedgold
When comparing the beta values obtained from each of the sub-ROIs across participants, we found highly significant (p<0.0001) correlations between M1 and S1 values (r(49)=0.89 and 0.77 for the intact hand and residual arm contrasts, respectively; see below, Author response image 2), suggesting that these two ROIs are not independent.
highly significantP < 0.00010.0× alphaqualifiedgold
A GLM with a negative binomial distribution with a log link function showed a highly significant positive effect of nest type on the number of trips per female [slope = 2.902, t = 7.078, P < 0.0001, dp = 1.119; dp is the dispersion parameter of the model, and when this is 1, the dispersion of the data from the model is within the predicted variance from the model (meaning the model fitted well to the observed data)].
highly significantP < 0.00010.0× alphaqualifiedgold
Measurement error The ANOVAs for centroid size and shape both reveal that the “Individual” main effect is highly significant ( P < 0.0001), which means that the variation among flowers greatly exceeds the measurement error due to “Imaging” and “Digitising” ( Table 1 ).