“marginally significant”

After adjustment, drive-time effects attenuated substantially, with only the 21–30 min category remaining marginally significant (− 0.30 pp, p < 0.10), while the 31–45 min and > 45 min categories were no longer significant.

Marginally significant results (p < 0.1) are reported in the results, but only significant results (p < 0.05) are further discussed.

Here, we found that 80% of all 500 Mantel tests were significant ( P < 0.05) and 93% were marginally significant ( P < 0.1) with a mean test statistic comparable to our original results ( r ± SE=0.13 ± 0.002).

The difference was marginally significant (p < 0.1).

In contrast, the effect of CACS-2 was statistically insignificant ( b = 0.027, p > 0.1), and CACS-8 exhibited only a marginally significant, weak effect ( b = 0.184, p < 0.1).

Depending on the parameter considered, we found mixed results for IBD; IBD was marginally significant for Nei’s D ( R xy = 0.072, P = 0.10; Figure 3A ) and F ST ( R xy = 0.074; P = 0.088; Figure 3B ) and significant for Lin F ST ( R xy = 0.30, P = 0.001; Figure 3C ).

However, those living in small metropolitan counties had marginally significant, lower odds of reporting poor/fair SRH than those in non-metro counties (OR = 0.89, p ≤ 0.10).

Marginally significant interaction terms ( P < 0.1) between sex and Pb were observed for LINE-1 (tibia and early childhood Pb), H19 (tibia Pb), and HSD11B2 (patella Pb).

Moreover, the combined treatment increased the abundance of almost all (7 of 10) detected genes involved in N cycling at significant or marginally significant levels ( P ≤ 0.10), similarly to the warming effect alone.

Age, smoking status, body mass index, and dental consultation status data that were marginally significant in bivariate analyses ( P < .1) were included as independent variables in multivariate multinomial logistic regression analyses.

For this analysis only, all metabolites for which the p -values were marginally significant ( p < 0.1) were selected for further study.

0.39) was marginally significant ( p < 0.10).

In separate bivariate linear regression analyses (unadjusted models), each covariate was tested with each outcome variable; marginally significant covariates ( P < 0.100) were then included in a multivariable adjusted model.

Variables significantly associated with the outcome and those that were marginally significant ( p < .10) in univariate analysis were included in multivariate analysis.

For younger participants, there was a marginally significant positive correlation between the number of fixations made during encoding and subsequent recognition (Pearson's r = 0.18, n = 84, p = 0.10), and a significant positive correlation between the number of transitions and subsequent recognition ( r = 0.41, n = 84, p < 0.001).

After logistic regression, 3 “true or false”-response questions related to history of depression in self and family history appeared marginally significant (logistic regression, FDR-corrected p < 0.1), with a self-reported “true” response to a “family history of depression” showing a marginal association with constipation (logistic regression, FDR-corrected <0.1), a self-reported “true” response to a “sibling history of depression” showing a significant association with diarrhea (logistic regression, FDR-corrected <0.05), and a self-reported “true” response to “recent ailments in self-history of depression” showing a marginal association with low-normal BMF (logistic regression, FDR-corrected <0.1).

The results supported Hypothesis 2, as the interaction between narcissism and equity ranking was marginally significant (β = 0.123, p < 0.1).

This effect was significant for extremely negative images (5.62), t (20) = 2.88, p < .01, and marginally significant for moderately negative images (3.02), t (20) = 1.75, p < .10.

The experimental group Metapholio had marginally significant lower mean values at the pretest than the control group for the subscales effort expectancy (-0.53, p < .10) and facilitating conditions (-0.51, p < .10).

Finally, explanatory variables found to be marginally significant (p<0.10) in bivariate analyses were tested in multivariable linear regression Ordinary Least Squares (OLS) models with cluster-robust SEs to account for clustering.

Variables showing statistically significant difference ( p < 0.05) or marginally significant difference (0.05 ≤ p < 0.10) would be indentified and multivariate logistic regression analysis would then applied.

Marginally significant differences (.05 > P < .10) were seen in the period of SCCA diagnosis in both men and women, where those diagnosed in the most recent period (2008-2012) had a lower risk of death than their counterparts diagnosed in the initial study period (2000-2007) (RER men , 0.48, 95% CI, 0.23 to 0.01; RER women , 0.68, 95% CI, 0.45 to 1.03).

Different suicidal ideation rates were assessed by a multivariate logistic regression model using the variables that were at least marginally significant, with p<0.10 in the univariate analysis, and other significant factors according to previously published studies.

Relationships between edaphic physicochemical parameters and total fungal richness, richness of dominant phyla and classes, of different growth forms and lifestyles, and their relative abundances were investigated through linear regression analyses (significant for p < 0.05; marginally significant for 0.05 < p < 0.1).

Paint exposure was marginally significant in the univariate analysis (OR = 4.04; 95% CI = 0.90–18.87; p < 0.1).