“marginal significance”

For mCA types with marginal significance ( P < 0.1), we then conducted logistic regression to test for association using a Bonferroni correction to account for the 156 independent tests.

Five other loci from the DMR reached marginal significance ( P < 0.10), Fig. 6B .

We observed non-significant time trends of prevalence in both overall and stratified populations (linear, quadratic, cubic trends: all P > 0.05) despite of some marginal significance (0.05< P <0.1).

To distinguish between good and poor performance, we used a threshold at the marginal significance level of p < 0.1.

We used STATA 13/SE (StataCorp, College Station, Texas, USA) for all statistical analyses and multiple imputations with the statistical significance set at p<0.05 and the marginal significance set at p<0.10.

However, many reported marginal significance (0.05 < p < 0.10) or trends toward increased metal levels in ALS patients.

To further investigate which of the significant clusters observed during the validation of the German EmpaToM task replicated in the English EmpaToM version, ROI analyses (thresholded at p = .05 uncorrected) were conducted for each of the clusters in each of the analyses (with significance defined as FWE p < .05 and marginal significance defined as FWE p < .10 corrected for the size of the original cluster). 3.

A MANOVA revealed significant relationships among school, gender, and learning styles ( p < 0.01), while personality traits showed marginal significance ( p < 0.10).

The interaction of intergroup team-member exchange reached the marginal significance level (β = 0.378, p < 0.1); this indicates that the prevention regulatory focus still moderates the indirect relationship between team-member exchange and individual job crafting.

In the comparison, we filtered the variables with statistical significance ( P < 0.05) or marginal significance ( P < 0.1).

Applying an FDR correction [39] using the program QVALUE (available from http://genomics.princeton.edu/storeylab/qvalue/ ) in the R statistics package ( http://www.r-project.org/ ) reduced this to ten loci at FDR <0.05, including four domestication-related and six improvement-related genes, with a three additional loci exhibiting marginal significance for selection during sunflower improvement after FDR correction (0.05< P <0.10).

Initial screening of potential predictors was conducted through univariate logistic regression, with variables demonstrating marginal significance ( P < 0.1) subsequently incorporated into multivariate logistic regression modeling.

Possibly predictive factors were identified using three analyses: classification and regression tree analysis, marginal significance ( P < 0.1) within a full-model logistic regression, and/or selection within a forward-selection procedure in a logistic regression.

Furthermore, one SNP from RFTN1 (rs796139390), and four SNPs from CSMD1 (i.e., rs114254701, rs10503200, rs56391646, and rs149909271) achieved a nominally marginal significance level (P < 0.10) for an association with CPD.

Interactions were decomposed at three levels of the moderator – low (−1 SD), average (0 SD), and high (+1 SD) – only when the interaction term reached marginal significance (i.e., p < 0.10; Hayes 2022 ).

Variables that achieved statistical significance ( P < 0.05) or marginal significance ( P < 0.10) in the univariate analysis were entered into multiple logistic regression analysis to identify significant independent predictive responders.

Next, significant variables or with marginal significance in univariate analysis (p < 0.100) were selected for multivariate analysis, trying to group those that were similar.

The covariates applied and additional percent variance described by each were: RNA integrity, RIN (6.7%); race (6.9%); pH (5.1%); smoking status (2.2%); age at death (4.4%); and sex (1.4%). Correction for transcript measurements collected in two data sets was also applied (6.9% variance), as well as a conservative correction for postmortem interval, which revealed marginal significance ( p = 0.10) within samples from the BP group alone.

This applies to relations between adaptability and emotions, between anxiety and knowledge test scores, and between enjoyment and perceived learning, in particular, with the indirect effects linking adaptability with learning outcomes via anxiety and hopelessness reaching marginal significance ( p < .10).

Although the interaction between Internet use status and left-behind status reached only marginal significance (β = 0.713, p < 0.1), the positive coefficient indicates that the mental health benefits of Internet use status were also attenuated in this group.

First, all parameters showing marginal significance ( P < 0.10) in univariate analyses were included; subsequently, these were incorporated into a stepwise multivariable regression model.

Only five loci (rs2070744, rs1800896, rs1800629, rs1799724, and rs4762) showed a significant difference in genotype composition between patients with PE and controls (chi-square test, P < 0.05) and additional two (rs2549782 and rs7412) showed marginal significance ( P < 0.1 and P ≥ 0.05) (Tables 1 and 2 ).

An interaction effect of chronic stress with linear rather than squared basal cortisol approached marginal significance in predicting parent-reported INTadj given a very severe PH, p = 0.10, and was significant in predicting self-reported INTadj given a very severe PH, p = 0.013, as well as parent-reported and self-reported INTadj given no PH, p = 0.010 and p = 0.007, respectively.

Significance is reported at the P < 0.05 level; however, we also discuss results showing marginal significance (0.05 < P < 0.1) following recommendations for studies in conservation science ( Fidler et al. , 2006 ; Field et al. , 2004 ).

The AST serum concentration in these mice was also higher than that of mice administered with the corresponding dose of OA or PLTX as individual toxins (62% or 72%, respectively), even at marginal significance level (0.05 < p < 0.10) ( Figure 4 b). 2.7.