Excerpts

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.

Time periods 2500ms and 4000ms produced similar differences and approached significance ( p < .1) (see Fig 7C ).

For the perception that respondents are being supported by older relatives, CG was marginally significant only for Future generations ( p < 0.1).

Initially univariate logistic regressions were analysed to identify any significant or marginally significant relationships (using p<.10 as the inclusion criterion).

The correlations with maternal negativity were in the expected direction —risk was uncorrelated with negativity for the 7-absent mothers and higher risk was correlated with stronger negativity for the 7-present mothers—but this was only a marginally significant effect ( p <.10).

Across all three studies, Benevolence, Security, and Conformity values were significantly less important for vegetarians than they were for non-vegetarians, although the difference for Conformity was marginally significant ( p < .10) in the US study.

4D ), combined with a decreased time spent with path length in the inner zone of the test field, reaching a statistical trend (Kruskal-Wallis H test – KWH: p<0.1, corrected Mann-Whitney U test – MWU: p<0.1 only for the WT vs.

P values indicated on figures are for the significant (P<0.05) or near-significant (0.05<P<0.1) factor that has been plotted.

However, in this analysis, there was a tendency toward statistical significance (P = 0.1) showing a difference in potency between the two groups to the effects of Δ 9 -THC.

For the multivariable Cox proportional-hazard regression model, we included factors that were significant or that showed a trend toward significance ( P < 0.1) in a univariable model and performed backward elimination ( P < 0.05) using the “standard method” of removing the variable with the largest P -value.

Most of the potential prognostic markers identified in Table 2 were either significant contributors to these models ( Table 4 ) or showed a trend ( p <0.1) that would justify further investigation.

For sound words, the feature-priming condition also significantly differed from the corresponding first non-priming condition (p<.03; confirming criterion 1) and showed a trend for a difference to the second non-priming condition (p<.1) over the left hemisphere.

We calculated the summary effect estimate using both fixed and random effect models, since the p-value for the test of homogeneity was marginally significant ( Table 3 ; p<0.10), which suggests some heterogeneity may be present and the variance between studies should be incorporated into the analyses to obtain confidence limits.

Especially, the use of metoprolol (beta-blocker), metformin (glucose-lowering drug) and lisinopril (ACE-inhibitor) seem to be associated with low semen quality, independent of age, however, with borderline significance at the p < 0.1 level.

Significant and near-significant (p<0.10) differences were then assessed further for independence in sequentially adjusted linear regression models: adjusting first for demographic factors (age, sex, ethnicity); next for retinopathy, neuropathy and BMI; next for blood pressure and antihypertensive medication; and finally for HbA1c.

We included all significant SNPs identified from our individual SNP analysis and an additional seven SNPs reaching borderline significance at p<0.10 ( Table 3 ).

With those participants excluded, the association between PDE and non-conflicting trials approached significance, r (30) = .32, p < .10, while the association between PDE and conflicting trials did not, r (30) = .18, p > .10.

If any interactions involving species were marginally significant (P<0.1) in the final model, we investigated simple effects by re-running the model (with the same covariates) separately for each species.

The RMA was completed using the Mixed Procedure of SAS [ 47 ], and further multiple means comparison was completed for significant ( p -value < 0.05) or marginally significant (0.05 < p -value < 0.1) effects by comparing the least squares means of the corresponding treatment combinations.

Following permutation testing, significance was observed for 2–5 locus haplotypes (p<0.05) and approached significance for the 7 and 8 locus haplotypes (permutation test p<0.1).

Neither model comparison was found to significantly improve the overall fit, although both showed a trend towards significance (0.05 < p < 0.10).

Identification of HCC-related RT Mutations There were 15 mutations that tended to show a borderline significant difference in the mutation rate between the HCC and control groups ( P <0.100, Table 2 ).

The Biocultural Identity Index (K) also shows a positive, though marginally significant, impact ( β = 0.015, p < 0.1), suggesting that cultural density supports health outcomes.

Among individual observations, marginally significant group by load interactions ( p <0.1, FDR corrected) were found for C net and E local,net at most of the observations.

A backwards-stepwise model building procedure was used: those variables that were statistically significant or approaching significance (P<0.1) in the univariable analysis were included in the multivariable analysis.