Barely Significant

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highly significantp = 0.0040.1× alphaqualifiedgold
Regression analyses indicated that for both dentate regions and for both behavioral measures there were highly significant correlations between system state (PCA1) and behavior ( Figure 3: Immobility in the FST – ventral: Spearman r = −0.63, p = 0.004***, dorsal: Spearman r = −0.63, p = 0.004***; Latency to eat in the NSF – ventral: Spearman r = −0.79, p<0.001***, dorsal: Spearman r = −0.81, p<0.001***).
highly significantp = 0.0040.1× alphaqualifiedgold
Scan time Analysis of risk factor demonstrated that there were four factors affecting scan time: (a) Hypertension —a significant effect (p = 0.013) was seen to be exerted by hypertension, with the scanning time increasing from 23.5 seconds (non-hypertensives) to 24.5 seconds (hypertensives); (b) Diabetes —a highly significant effect (p = 0.004) was observed in the presence of Diabetes (diabetics vs non-diabetics 24.9 secs vs 23.4 secs); (c) Age —every additional year of age was reflected in a reduction of scanning time by 0.038 seconds.
borderline significanceP = 0.0040.1× alpha
After correction for multiple testing using the SNP Spectral Decomposition Lite program (number of independent marker loci, 21; p = 0.05/21 = 0.002), only the Dectin-2 rs4264222 and Dectin-2 rs7134303 associations in women retained significance ( P = 3.00 E-04 and P = 9.00 E-04), whereas the associations with DC-SIGN rs4804803, MCP-1 rs1024611 and MCP-1 rs4586 showed borderline significance in the whole population ( P = 0.004, P = 0.006 and P = 0.009; Table 3 ).
weakly significantp = 0.0040.1× alphaqualifiedgold
Using this approach, GEE with ICP as the independent variable weighted for distance of measurement and ONHV or ONHH as the dependent variable were weakly significant for ONHV (B = 0.020, SE = 0.007, p = 0.004) and interestingly significant for ONHH with a negative association (B = −0.003, SE = 0.0005, p<0.001), meaning that IIH patients with a high ICP showed a more depressed ONHH.
a significant trendp = 0.0040.1× alphagold
A significant trend across incidence quintiles was observed between prevalence figures for all treated chronic illnesses and for treated diabetes (p = 0.004 and p<10 −4, respectively), the proportion of the population living in rural areas (p<10 −4 ), the unemployment rate (p<10 −4 ), the FDep index (p = 0.02), the LP
highly significantp = .0040.1× alphaqualifiedgold
As a further check that the interaction of Group with O-Span was not an artefact of ‘regressing out’ age effects within the older group which correlated with WMC, we also ran the model without age as a predictor, and the interaction of Group with O-Span remained highly significant (β = .47, t (33) = 3.14, p = .004; for model, R 2 = .32, F (3,31) = 4.84, MSE = 14.2, p = .007).