approached significancep =.047
The slopes for women were significant or approached significance in the theta, p =.047, and gamma, p =.05, bands but not the alpha band ( p =.84).
The slopes for women were significant or approached significance in the theta, p =.047, and gamma, p =.05, bands but not the alpha band ( p =.84).
Genetic risk scores for insulin traits and association with fetal flow parameters A borderline significant negative association was found between GRS for IR + DLD and the fetal middle cerebral artery (MCA) flow ( p = 0.047, Table 3 ).
Additionally, patients with stage III-IV showed slightly higher METTL1 expression than those with stage I-II, with the difference being marginally significant ( p = 0.047) (Fig. 2 D).
Total allometry (calculated as a linear regression of Procrustes coordinates onto log transformed centroid size (CS)) in the RV species-averages dataset was significant (p = 0.0011) and accounted for almost 14% of total variability; while the evolutionary allometry (calculated as a regression of independent contrasts of shape onto independent contrasts of log transformed CS) was around 10% and was barely significant (p = 0.047).
Although only marginally significant in Chinese (rs7088318, OR = 1.23, P = 0.047), the PIP4K2A association also showed consistency across populations.
There was a marginally significant effect of test period (χ 2 1 = 3.94, P = 0.047; Fig. 2b ).
45.2%) with borderline significance (adjusted RD = 26.01, p = 0.047), whereas no difference was seen in nondiabetics (Table 4 ; Fig. 3 a and b).
In addition, IL-5 exhibited a nominally significant associations with right ventricular function, particularly with right ventricular stroke volume (RVSV; OR = 2.4489, 95% CI = 1.0113–5.9302, p = 0.0472, adjusted p = 0.461).
Although there was a slightly significant overall difference in the mean time spent at the center between the three groups (p = 0.0479), a Newman Keuls multiple comparisons test failed to reach statistical significance.
PWA during rest was significantly larger compared to both memory (t(77) = 4.152, p < 0.001, d = 0.473) and control tasks (t(77) = 3.844, p < 0.001, d = 0.438), while the difference between memory and control tasks was marginally significant (t(77) = 2.007, p = 0.048, d = 0.229).
However, the HR for RA fell from 1.34 in the Step2a model to 1.25 and RA was now barely significant (p = 0.048), consistent with the hypothesis that inflammation as captured by CRP may be a mediator of the increased mortality associated with RA.
Mixed effects models between ICGA and the DCP were borderline significant ( p = 0.048; 95% confidence interval 0.21 to 13.49), whereas all other imaging methods differed significantly.
This might inexorably lead to spurious/confused associations, potentially explaining why we found a significant link between this AE and the MR, especially considering the borderline significance of this association (p = 0.048).
A borderline significant difference in gender distribution was also noted across the phases ( P = 0.048).
This test produced one marginally statistically significant result, identifying a biological process that contained 4 of the 24 differentially expressed genes in our data set (Panther overrepresentation test, p = 0.048).
The analyses revealed a robust distance effect for RT at the whole sample level and in each group separately, with marginally significant between-group differences ( t 55 = − 2.02, p = 0.048, d = − 0.54).
While there were no group differences in ACC with respect to mR of corporal objects (F(1, 44) = 1.91, p = 0.174), HC achieved higher accuracies than CD that were marginally significant (F(1, 44) = 4.134, p = 0.048).
A slight significance was also obtained in the comparison of the two sexes independently of the age-groups (p = 0.048).
Wind speed shows a near-significant positive influence ( p = 0.048), reflecting its dual role in either removing or redistributing dust.
A slightly significant difference was also observed in the dyslipidemia cohort ( p = 0.048).
Although the difference was lower with GEHO-NFN, it was still significant on Maxwell ( p = 0.037) and slightly significant on COCOMO81 ( p = 0.048), which proves that performance gains cannot be attributed to chance.
For the SI group, the model was: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:logit\left(P\right(Y=1\left)\right)=-0.46+0.10X$$\end{document} showing a marginally significant positive slope ( p =.048), while the intercept was not significant ( p =.13).
Results Experiment 1 Recall performance on trivia questions A 2 × 2 ANOVA on free recall rates with the factors age (young, older) and state EC (high, low) revealed no main effect of age (F(1,52) = 1.05, p = 0.31, η 2 p = 0.02), but a significant main effect of state EC (F(1,52) = 165.18, p < 0.001, η 2 p = 0.76), and a marginally significant interaction of age × state EC (F(1,52) = 4.11, p = 0.048, η 2 p = 0.07).
The c-index of nomogram for DMFS in the training and validation set were both higher than that of TNM classification with marginal significance ( P = 0.048 and P = 0.057, respectively).
Growth rate changed over time (Time (ordinal effect) F = 36.63, df = 7, p < 0.0001), and a marginally significant effect indicated that treatment groups varied slightly in growth rate (Treatment F = 2.41, df = 4, p = 0.048).