“marginally significant”

Fish length Average fish length was not significantly different between scenarios for roach (ANOVA, p = 0.51) and eel (ANOVA, p = 0.56), but was marginally significantly different (if a p-value is between 0.05 and 0.10 it is further on referred to as marginally significant) between scenarios for bream (ANOVA, p = 0.086.) (Supplementary Fig.

This reinclusion of inconsistent cases hardly changed the results for metric outcomes with significant effects for knowledge and attitudes and slightly changed results for smoking behaviour with marginally significant associations for lifetime smoking (p=0.086) and incidence (p=0.083).

Regardless of treatment, alder log-transformed seedling biomass was negatively correlated with the relative abundance of pathogens, (F (89, 2) = 5.639, P < 0.020) and showed a marginally significant positive relationship to the relative abundance of the DSE functional group (F (89, 2) = 3.025, P < 0.086).

However, considering potential outliers in the IC data ( Figure 4 c), we calculated the Spearman correlation, and the result was marginally significant (ρ = 0.27, n = 43, p = 0.086).

This pattern was marginally significant, with a cross-over interaction of F (1,25) = 3.2, p = 0.086.

The second analysis, centered on the 500–1000 ms time-window, revealed two marginally significant clusters, namely a positive centro-posterior cluster ( p = 0.086) spreading between 650 and 800 ms and involving up to 6 electrodes around P3 and Pz at its peak (between 700 and 750 ms), as well as a negative cluster that was its counterpart and spread between 700 and 800 ms, involving up to 4 electrodes around F3 and Fz at its peak (between 700 and 750 ms).

A Tau-U analysis revealed that the trend of self-efficacy was marginally significant, z = 1.71, p = 0.086.

Furthermore, a marginally significant interaction was observed between group and age [ F (2, 35) = 2.63, p = 0.086], suggesting that the effect of age on anxiety may differ across groups. 3.2 Thalamic neuro-metabolite differences between patients with insomnia and healthy controls As shown in Table 2 , compared with the healthy control group (mean ± SD: 3.056 ± 0.715), the insomnia group exhibited significantly lower thalamic GABA+ levels (2.623 ± 0.468; p = 0.027).

A univariate 2×2 factorial ANOVA, with the between-subjects factor Sex (Male and Female) and the within-subjects factor Exposition (PET and Context), revealed a significant main effect of the Exposition factor on both freezing and risk assessment behaviors (Freezing: F 1,10 = 868.11, p<0.001, η 2 =0.976; Risk assessment: F 1,10 =80.19, p<0.0001, η 2 =0.768) and a marginally significant effect on the exploration behavior (F 1,10 =3.63, p=0.086, η 2 =0.143).

The association between the PGS for WHRadjBMI and pancreatic cancer was marginally significant (OR = 1.047 [0.99–1.104], p = 0.086).

Notably, the group with sleep duration < 9 hours and social jetlag ≥ 1 hour showed a marginally significant association with DED (p = 0.086).

Partial correlations revealed a marginally significant positive association between the change in BDNF and within-session learning in the BIKE group ( r (23) = 0.40, p = 0.086), but not in the STRETCH group ( r (23) = −0.27, p = 0.253).

For response accuracy in the recognition test, the results of mixed ANOVA analysis revealed that the interaction between consistency and age group was marginally significant ( F (16, 600) = 1.52, p = 0.086, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\eta }_{p}^{2}$$\end{document} η p 2 = 0.039).

The results revealed marginally significant main effects of task (F(1, 20) = 3.26, p = 0.086.), with stronger connectivity found in the trade-off instruction task (mean = 0.35, std = 0.23) than in the preferential choice task (mean = 0.29, std = 0.22).

Furthermore, there was a marginally significant condition × VIQ interaction (F(1,61) = 3.0, p = 0.086, partial ETA 2 = 0.048, Po = 0.40), which resulted from an increased difference in nonspeech versus speech P1 amplitudes associating with poorer VIQ scores (see Fig. 3 ).

The initial analysis including all three populations of bass (Florida Everglades, Illinois Hatchery, Illinois Wild) found a marginally significant interaction between lighting environment and male color morph ( Table 5A , F 2,144 = 5.25, P = 0.086).

In a common, multivariable-adjusted model (Table 3 ) (adjusted for age group, smoking, drinking and menopausal status) for the NHANES sample, odds for breast cancer were significant and elevated for the third UCd quartile (OR=2.50; 95% CI=1.11, 5.63; p=0.028) and marginally significant for the fourth quartile (OR=2.22; 95% CI=0.89, 5.52; p=0.086).

As shown in Table 4 , our study found a marginally significant association between the CSF, WBC: RBC ratio, and diagnosis of ventriculitis ( P = 0.0866).

The Gender × Condition_c 2 interaction was marginally significant [β = −0.01740, SE = 0.01014, t (519.43) = −1.72, p = 0.0867], suggesting that the curvature differed slightly between males and females, with females showing a somewhat steeper change in TES across conditions.

Results showed that: (1) the LIFG-to-LSMG connectivity was positively correlated with reading ability in both groups (adults, r value = 0.54, p < 0.001; children, r value = 0.635, p < 0.001), indicating that the stronger the influence from LIFG to LSMG, the better the reading performance; but the reverse connectivity from LSMG to LIFG was negatively correlated with reading ability (significant for children, r value = −0.455, p < 0.05, and marginally significant for adults, r value = −0.356, p = 0.087), indicating that the stronger influence from LSMG to LIFG, the worse the reading performance; (2) the LpMFG-to-VWFA connectivity was positively correlated with reading score in children ( r value = 0.414, p < 0.05) but not in adults ( p > 0.05), indicating t

When each hemisphere within each ROI was individually analyzed regarding the response to the contralateral and ipsilateral visual field, paired t‐tests showed that the left hemisphere OFA showed a significant difference ( t 6 = 3.98, p = .007) and the right hemisphere OFA was marginally significant ( t 5 = 2.12, p = .087), but neither hemisphere in FFA showed a consistent difference (all t ‐values < 1.8, all p ‐values > .10).

For exhaustion, the correlation was marginally significant ( r = −0.104, p = 0.087), but a separate analysis revealed a difference––the “behavior at work” aspect demonstrated a clear negative correlation with exhaustion ( r = −0.118, p = 0.044), but “personal lifestyle” did not ( r = −0.014, n.s.).

In addition, the H19 level showed a marginally significant association with all-cause mortality (HR 2.263, 95% CI: 0.889–5.760, P = 0.087), although it appeared to have no significant improvement for the CHA 2 DS 2 –VASc model for predicting all-cause mortality.

There is a marginally significant positive relationship between age at childbirth and number of inherited de novo mutations identified heuristically (β = 0.028, P = 0.087; SI Appendix , Fig.

There was a marginally significant difference ( p = .087) in attempts to donate in the subsequent 6 months as a function of successful versus unsuccessful donations such that participants that were successful were more likely to attempt to donate again in the future (57%) compared to those that were unsuccessful (38.1%). 4.