“marginally significant”

A multivariate conditional logistic regression was fitted using a forward-stepwise procedure with all variables that were marginally significant (p < 0.10) in the unadjusted analyses as candidates for selection.

Substitution effect on face-to-face contact frequency Column 4 of Table 5 shows a marginally significant negative association between internet usage and face-to-face contact frequency (Column 4: β = −0.279, SE = 0.160, p < .1).

Results were considered significant when P < .05 and marginally significant when P < .10.

The fit was marginally significant ( p < 0.1).

ResF personnel had a statistically significant 11.3% lower MHSU for the ‘any’ service category and specifically, a 9.1% lower medication service use, as well as a marginally significant (p≤0.10) 5.4% lower counselling service use.

A marginally significant and negative correlation was found between T 4 and urinary MnBP (R = −0.179; p-value < 0.10).

Results from both parametric and ML models indicate that the effect of log detection time delay is marginally significant (p<0.10) in slightly reducing expenditure.

A main effect for time was observed (p < .05) suggesting that both groups appeared to increase in reports of EQ over time, with only a marginally significant increase in total EQ for that was greater for the intervention group, as revealed in the Condition by Time interaction (p <.10).

Stepwise multivariate logistic regression methods using candidate variables that were, at a minimum, marginally significant in the univariate analysis (p <0.10) were conducted to obtain factors independently associated with household attack rates and household member attack rates.

Separate log-linear models controlling for the locality's altitude confirmed the effect of source type and location (P<0.001) while evincing marginally significant altitudinal effects (P = 0.10) ( Table 3 ).

All variables significantly associated with general cognitive scores in the bivariate models (p<0.2) were included in the multivariate model, and only retained if they had an at least marginally significant association (p<0.1) or modified the coefficient by at least 5% [32] , [33] , [38] .

For all linear mixed-effect models, we performed backwards step-wise model simplification using likelihood ratio tests to obtain the minimum adequate model containing only significant terms (whereby we retained marginally significant effects, i.e., P < 0.1).

All the solid lines and dotted lines represent significant ( P < 0.05) and marginally significant (0.05 < P < 0.1, n = 32) linear regression.

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.

The findings indicated that the interaction term between student motivation and teacher instruction on process features was marginally significant and negative (γ = −1.27, p < 0.1), indicating that the relationship between student motivational beliefs and their writing achievement was moderated by the frequency of teacher instruction on process features.

However, multiple other 5′ tRNA halves and 5′ YRNA fragments belonged to modules (i.e., Black, Brown, GreenYellow, and Turquoise) that displayed marginally significant trends (0.05 < P < 0.1) with the cancer trait ( Figure 2B , Supplementary Figures 1 , 2 ). 5′ tRNA-Val-CAC-2-1 Half Is Part of a Key miRNA-Enriched Regulatory Coexpression Module That Targets Genes Involved in the Negative Regulation of the G1/S Transition of the Mitotic Cell Cycle As commented above, we reasoned that miRNAs and 5′ tRNA halves and/or 5′ YRNA fragments that are coregulated and involved in common biological pathways will belong to common coexpression modules detected by the WGCNA method.

When controlling for age, however, only the relation between Working Memory and the 3-option modified Contents False Belief task remained marginally significant ( r = 0.19, p < 0.10).

Health insurance shows a weakly positive association with inpatient utilization, with Employee Medical Insurance being marginally significant ( p < 0.10).

Tests were considered statistically significant when P<0.05 and marginally significant when 0.05<P<0.1.

An a priori significance threshold of α = .05 was used but marginally significant effects ( p < .10) are also reported.

A fourth variable, maternal depression, yielded a marginally significant (p < .10) disparity indicating higher levels for Black mothers than Non-Hispanic White mothers.

All variables demonstrating a marginally significant association with visit confirmation status in bivariate analysis ( P < 0.10) were considered for inclusion in the multivariable model.

All statistically marginally significant prognostic factors which identified by univariate analysis ( P < 0.1) were entered into a Cox proportion hazards regression model with forward stepwise (Likelihood ratio) to identify independent predictors of VAP event.

Additionally, in the heating season, the GMs of BbFA, BkFA, BaP, DahA, and Σ10-PAHs in school B were higher than those in school A by 38%, 47%, 26%, 26%, and 39%, respectively ( P < 0.05), with a marginally significant difference between schools for FLA, CHR, BaA, DghiP, and IcdP ( P < 0.10).

Marginally significant terms (0.05 < p < 0.1) remained in the model due to the even minimal interaction effects, contributing to the fit and prediction capability of the regression models to explore subtle interaction effects and reduction of type II errors (Greenland et al. 2016 ; Morganstein and Wasserstein 2014 ).