Barely Significant

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a significant trendp = 0.01960.4× alphagold
In the case of PRELID1 , there was a significant trend (R = 0.3932; p = 0.0196) towards higher copy number assignments for samples with DNA input amounts above the average (13.28 ng; range 2–120 ng) of the sample set ( Figure 3 ), even after removing outliers (>75 ng input DNA).
highly significantP-value = 0.020.4× alphaqualifiedgold
We found that the degree distribution of the subpathway nodes of the actual DMSPN was significantly broader than that of the random networks (P-value<10e–10, see SI Figure S2A ), whereas the distribution of disease nodes did not display such a highly significant difference (P-value = 0.02, see SI Figure S2B ), suggesting that the different subpathways in the DMSPN possessed the considerable differences with respect to causing diseases.
marginally significantP = 0.020.4× alphagold
Individuals who consumed more coffee presented marginally significant more RA of Fusobacteria ( P = 0.02, FDR = 0.20) in their gut microbiota compared to those reporting low or no coffee intake, but the RA of Fusobacteria was significantly higher in smokers compared to non-smokers ( P = 0.009, FDR = 0.027).
highly significantp = 0.020.4× alphaqualifiedgold
The Cox-proportional hazard ratios with exact partial likelihood to handle tied failures for hospital mortality comparing the BMI categories <18.5, 18.5 to 22.9, 25.0 to 29.9, and ≥30.0 with the reference category were 1.13 (0.88 to 1.44), 1.03 (0.84 to 1.26), 0.96 (0.76 to 1.22), and 0.68 (0.43 to 1.08), respectively, with a highly significant test for trend ( p = 0.02).
a significant trendP = 0.020.4× alphagold
When different types of dairy consumption were investigated separately for CVD, CHD, fracture, or all-cause mortality events, a significant trend of lower risk of fracture with increasing total fermented dairy consumption (adjusted model P = 0.02) was observed, with HR of 0.67 (95% CI: 0.50–0.90) for the highest (total fermented dairy>133 g/week) vs lowest (0≤total fermented dairy≤26, g/week) quartiles of total fermented dairy consumption ( Table 3 ).
highly significantP<0.020.4× alphaqualifiedgold
A multiple regression model of parasite prevalence on both elevation and temperature was highly significant (F 2,3 = 164.63, P<0.02, R 2 = 0.99, Adjusted R 2 = 0.98) but only temperature contributed significantly to the model (temperature: Beta = 0.99 P = 0.02; elevation: Beta = 0.004 P>0.98).
highly significantp = 0.020.4× alphaqualifiedgold
Both models show that the telehealth related factors are the most contributing features in predicting Effort Expectancy except for Self-Efficacy (SE) and Perceived Barriers (PB) where PB has a low contribution by lower IV, although it has a highly significant effect (a dashed border bar) on Effort Expectancy, inferred by p = 0.02 in Table 4 .