Removal of the 14 potential outliers resulted in a pooled SMD of 0.410 (95% CI 0.005–0.815) which was only marginally statistically significant ( t = 2.08, P = 0.047).
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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 ).
There was also a significant effect of signal-to-noise ratio (F(8,56) = 4.359, p = 0.001, ƞ 2 = 0.384) and a marginally significant interaction between the two factors (F(8,56) = 2.139, p = 0.047, ƞ 2 = 0.234).
The difference between bacterial communities from the two canyons was weaker (R = 0.254) than the difference between the two species, and the difference was barely significant (p = 0.047).
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).
However, subject age was marginally significant, with younger subjects reporting higher maximum pain (P = 0.047).
A marginally significant difference was found between 14 SD FMs and 12 CS FMs (1.78 × 10 −3 mm 2 /s (IQR: 1.65–1.84 × 10 −3 ) vs. 1.66 × 10 −3 mm 2 /s (IQR: 1.60–1.73 × 10 −3 ), p = 0.047).
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.
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).
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).
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).
Haplotype analysis revealed borderline significant association of breast cancer with ERCC6 Hap 5 (OR 1.30, 95% CI 1.00–1.69, p = 0.048) (Supplementary Table 2 ).
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.
Pyr failed to decrease blood ammonia while MCT showed a barely significant decrease (P = 0.048) in blood ammonia levels.
Regarding β , we found a barely significant positive relationship between β and inertia with 10% of the inter-individual variance being accounted for ( p = 0.048) (Fig. 8B ).
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).
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).
However, HER2 status demonstrated marginal significance (p = 0.048), and a higher proportion of patients with high T stage (T2 and T3) and high N stage (N2 and N3) were observed in the ALNM high burden group.
The interaction effect between the input modalities and secondary task types was marginally significant [ F (4.09,115.44) = 20.66, η 2 = 0.149, p = 0.048].
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).
The band and sleep/wake state treated as within-person repeated factors explained a significant band effect ( F = 10.81, p < 0.0001) and marginally significant effect of the sleep/wake state ( F = 4.34, p = 0.048) on mean coherence.
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.
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).