“near-significant”

Covariates were chosen among expected major risk factors for fragility fractures, and significant or near-significant ( P < 0.10) parameters in simple correlations.

Stepwise multiple linear regression procedures were conducted to evaluate whether any significant ( P < 0.05) or near-significant factors ( P < 0.10) from univariate analyses served as independent predictors of cartilage thickness at each measurement location.

PCA was performed using the significant and near-significant sensory attributes ( p < 0.10) found in the ANOVA.

All demographic factors with significant or near-significant (p < 0.10) univariate associations were entered into the regression models.

A stepwise multiple linear regression procedure was performed to evaluate whether any significant ( P < .05) or near-significant ( P < .10) factors from univariate analyses served as independent predictors of increased visual analog scale (VAS) pain scores following second-side surgery.

Only three bivariate linear models yielded near-significant ( p < 0.10) relationships with number of trees, and these models still yielded significance with these predictors: mean distance to nearest town ( p = 0.006; R 2 = 0.523), distance to nearest trail ( p = 0.014; R 2 = 0.476), and mean wind speed ( p = 0.006; R 2 = 0.517).

Variables were examined using univariate analysis to determine predictors of re-shortening; significant or near-significant factors ( P < 0.10) on univariate analysis underwent multivariate logistic regression analysis to assess their independent relationship with femoral neck re-shortening.

Moderated regression models were fitted; significant (p<.05) and near-significant (p<.10) interactions were followed by simple slope analyses.

Notable near-significant differences (0.05 < P < 0.1) are indicated in the figures.

Near-significant predictors (p<0.1) of laboratory parameters were included in a stepwise multiple logistic regression analysis to identify significant independent predictors for the presence of pneumonia.

When considering near-significant interactions only ( p -value ≤ 0.1), the number of interactions drops to 239,933 between 98,376 unique fragments and 9240 unique genes.

In our trial, ASPS supplementation had no effect in the first 20 days but significantly increased milk yield and protein content by days 40 and 60, with a near-significant rise in milk fat ( P < 0.1).

S2 ), and we observed the parent genes of two novel peptides—HSPB1 (heat shock protein family b [small] member 1) and RAB14 (RAB14, member RAS oncogene family)—showing near-significant survival association ( p = 0.1).

Significant differences were declared at P ≤ 0.05 whereas near-significant trends were considered at 0.05 < P ≤ 0.10.

Variables with statistically significant or near-significant associations ( p ≤ 0.1) for each of the variables were entered into a logistic regression model to identify significant predictors of likely MDD.

Multivariate analysis was performed using the backward stepwise method after including all variables with significant or near-significant association ( p ≤ 0.10) at either log-rank or univariate analysis by Cox proportional hazard method.

Although the NCT evaluated all possible edges between nodes, only those showing meaningful or near-significant variation (p < 0.10) were presented in Table 3 to ensure interpretability and transparency in gender-based comparisons.

A paired t test showed significant differences at p < 0.05 for HCB and CN and near-significant differences at p < 0.1 for TC and CC, but not for TN, HEPX nor ENDO-I.

Ecosystem services trade-offs and synergies The NMDS plot and the ANOSIM did not show any significant difference between tillage and drought treatments in terms of global ecosystem services provision, although tillage had a near-significant effect (0.05 < P < 0.10) (Supplementary Fig.

A further one-way Week (8) × Treatment (3) ANOVA revealed a trend (near-significant) effect on Week 8 ( F( 2,21) = 1.652, p = 0.1, one-tailed), with a Tukey’s post hoc test revealing a significant effect between Mild HI and Sham ( p = 0.05, one-tailed) and a near significant effect between Severe HI and Sham ( p = 0.1, one tailed), with both HI groups showing a trend towards fewer errors.

Significant or near-significant variables ( p < 0.1) in the bivariate analysis were added using the introduction method and those whose results were not significant in the model were discarded.

Correlation analysis After ANOVA and GLM investigations, a subset of outcome measures of animal behavior or serum cytokine concentrations with evidence of significant ( P < 0.05) or near-significant (0.05 ≤ P < 0.10) differences among groups was selected for study of potential correlations with measures of cartilage lesion formation.

Candidate predictors included baseline biomechanical parameters that showed significant or near-significant associations in univariable analyses ( p < 0.10) and/or were considered clinically relevant.

In Hsbp8 K141N mice, there is a near-significant elevation ( P < 0.1) at all three time points, from prior to any deficit in nerve conduction through to the age with clinically manifesting neuropathy symptoms ( Fig. 4C ).

Only variables that showed significant or near-significant correlations ( p < 0.10) with the dependent variables of interest were selected for further multiple linear regression analyses.