Regarding the association of the contextual variables with the presence of depressive symptoms, on comparing tertiles 3 versus 1, the association of socioeconomic deprivation index was marginally significant at the locality level (OR = 1.28; p<0.10), and significant at the municipality level (OR = 1.16, p<0.01).
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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.
Initially univariate logistic regressions were analysed to identify any significant or marginally significant relationships (using p<.10 as the inclusion criterion).
In models that include an interaction of health aid impacts with urban areas, medical services aid appears marginally significant in bolstering perceptions of healthcare quality (p<0.10); however—like with health infrastructure aid—the effect is smaller in urban areas.
In this context, our exploratory analysis suggested that PTV volume (>13 cc) was marginally significant ( p < 0.1) for toxicity, but this requires validation in the full cohort of 55 patients.
Fourth, given the exploratory nature of cross-national comparisons and the potential loss of statistical power arising from the differences in variable construction discussed above, we retain the reporting of marginally significant associations (p < 0.10) but clearly distinguish them from statistically significant results using the † symbol throughout.
To model the association of the PRISM-PC questionnaire domains with the dependent variable (acceptance versus refusal of telephone screening with the TICS), we used logistic regression and adjusted for covariates found to be significant or marginally significant ( P < 0.10) in bivariate analyses.
In addition, in Model 3 the influence of an “integration” ethnic orientation went from non-significant to marginally significant (p < .10) and the influence of an “attenuation” ethnic orientation went from significant at p < .05 to non-significant.
For employees with low construal level, the positive relationship between EO REO and voice behavior is marginally significant when challenge stressor is high ( Slope = 0.205, S.E. = 0.126, p < 0.1 ) and the positive relationship between EO REO and voice behavior is not significant when challenge stressor is low ( Slope = 0.109, S.E. = 0.128, p > 0.1 ).
A difference was declared significant when P ≤ 0.05 and marginally significant when 0.05 < P ≤ 0.10.
For the experimental group, there was only one marginally significant relationship between AB index and sexual excitation score (SES, r = −0.48, p < 0.10).
Marginally significant results (0.05 < p < 0.10) also were reported to acknowledge trends that may be of interest.
Both baseline CUDIT and cannabis craving showed marginally significant associations with treatment progress ( p < 0.10).
Terms were considered significant if P < 0.05 and marginally significant if P < 0.1.
When smoking status and obesity were added (Model 6), the main effect of educational resources at 12 years of schooling remained negative and marginally significant (b = −0.017, 95% CI: −0.035, 0.002; p < 0.10), while the interaction term was attenuated and no longer statistically significant (b = −0.003, 95% CI: −0.008, 0.001). 3.2.5 Predicted differences across educational attainment levels Fig. 2 translates Models 5-6 into predicted differences in inflammation when comparing individuals educated in states at the 90th versus 10th percentile of educational resources, across levels of educational attainment (8, 10, 12, 14, and 16 years).
Table 3 shows that among the ANMs observed in both rounds, there was evidence that daily proportions of time spent on non-work activity decreased for ANM-3 in facility-A (46.0% vs 34.4%, p = 0.041) and for ANM-5 in facility-B (42.5% vs 21.1%, p = 0.035); marginally significant reductions were also observed for ANM-4 and ANM-7 in facility-B ( p = 0.100 and p = 0.064, respectively).
A further seven CNVs (6 with negative clines, 2 of which were deletions) had marginally significant frequency clines (adjusted P < 0.10).
Significant results were those with p -values < 0.05, while marginally significant results were those with p -values < 0.10.
For the 0-back task, there was significant positive activation in Ch 21 ( p < 0.05 ), and marginally significant positive activation in Ch 10/22 ( p < 0.1 ).
However, nonverbal quantitative reasoning and verbal quantitative reasoning appeared as marginally significant (0.05 < P <0.10) predictors of IQ level.
Results for treatment criteria were considered significant at P ≤ 0.05 and marginally significant if 0.05 < P ≤ 0.10.
[ 33 ] found a positive association (reported by authors as marginally significant at p < 0.10) between exposure to post hurricane-related (Hurricanes Katrina and Rita in 2005) stressors and increased AU in individuals with a history of low income (estimate = 58.41, standard error (SE) = 31.45), but not among individuals with a history of middle income.
In these models, 95% confidence intervals (95% CI) with errors corrected for robust variance were calculated and statistically significant coefficients were considered with a p < 0.05 value and marginally significant, with a p < 0.1 value.
However, at t 2 , a marginally significant positive correlation ( p < 0.10) for the total sample and a significant positive correlation ( p < 0.05) for the subsample with good comprehension were found.