“borderline significance”

The statistical significance level was indicated as P -value < 0.05, and the statistical borderline significance level as P -value < 0.1 ( 37 ).

Factors with significance or borderline significance ( p < 0·1) in the univariate analyses and factors described as relevant in previous studies were then included in a multivariable regression model with backward stepwise variable selection.

Two of the genes displayed a significant association with patient survival (p < 0.05), and one showed borderline significance (p < 0.1).

Cd, Ni, and Pb were associated with preterm delivery, although with a borderline significance (0.05 < p value < 0.1) and with comparable point estimates.

In addition, the likelihood of participation in DSME among agricultural/forestry/fishery worker and homemaker/student was higher at PHIs, with borderline significance (0.05≤ p <0.10).

Heterogeneity with borderline significance was found for mortality (Cochran's Q chi-square test, p = 0.100; I 2 = 44.4%).

All statistical analyses were conducted using SPSS (version 26.0), with significant differences at P < 0.05 and borderline significance at 0.05 < P < 0.1.

When separated by osteotomy type, the RF incidence rate trended higher if operation included PSO (6/37, 16.2 %, 95 % Cl: 4.3 %; 28.1 %) versus SPO only (1/38, 2.6 %, 95 % Cl: 0 %; 7.7 %), but this difference was found to have borderline significance ( OR = 7.2 95 % CI: 0.8; 62.7, P = 0.1).

The model included age ≥70 years, sex, and seven factors found to be of at least borderline significance ( P <0.10) in univariate analysis ( Table 1 ).

Gender and BMI were found to be at the borderline significance level in their contribution to explaining the variation in costs ( p < 0.1).

Entries with p -values at borderline significance in the univariate analysis ( p < 0.1) were included in the multivariate logistic regression analysis.

Variables with borderline significance (p value < 0.1 in univariate analysis) and those thought likely to have a clinical relationship with atrial fibrillation, such as cardioprotective medications and blood pressure, were entered into the multivariate models.

It was found that the direct effect of housing condition on local participants’ mental health was not significant, at 95% confidence level ( p = 0.055), and borderline significance ( p < 0.10) indicated the mild protective effects of better housing conditions upon mental health.

The association between endoscopic treatment and clinical outcomes was analyzed using univariate and multivariate logistic regression models. The multivariate analysis was adjusted for age, sex, and the following 15 factors that were potentially clinically important variables, most of which were found to have at least borderline significance ( P < 0.10) on univariate analysis: current drinker, systolic blood pressure ≤ 100 mmHg, loss of consciousness, hemoglobin < 12 g/dL, white blood cell > 10 000 /μL, blood urea nitrogen > 25 mg/dL, antiplatelet use, anticoagulant use, corticosteroid use, extravasation on CT, location of the SRH, early colonoscopy, bowel preparation, use of distal attachment, and use of water-jet scope.

The ratio of the H max to M max The change in HMR over time was significant (χ 2 =20.49, p<0.01), but location effect showed borderline significance (χ 2 =2.66, p=0.10).

A statistical test of an interaction of AR with ulceration status revealed only borderline significance ( p = 0.10, not shown in results).

Factors with significance or borderline significance (p < 0.1) in the univariate analyses and those identified as pertinent factors in the literature were then included in a multivariable regression model with backward stepwise variable selection.

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 ).

In contrast, the COVID-19 Survey Wave 4 shows the opposite trend: STEM academic scientists receiving emails with no information responded at lower rates than those receiving emails with some information, albeit at a borderline significance level (2.7 percentage points lower, p < 0.1).

Variables with significant or borderline significance (P<0.1) in univariate analysis were included in the multivariate analysis.

When analysis of variance (ANOVA) detected effects above borderline significance ( p < .10), post hoc power analyses were performed using the simr package [ 73 ], and a 95% confidence interval was reported (number of simulations: 1000).

Borderline significance ( P < .10) was also indicated and discussed.

Of these, health status, use of an aid for walking and taking medication for mental health were not equally distributed (borderline significance = p < 0.10) between the two groups; all three variables were of higher proportion in the intervention group.

When building a logistic regression model, the variables with borderline significance between the sexes at baseline (P ≤ 0.1: age, hypertension, NIHSS of 0 at baseline) were independent risk factors for poor functional outcome (P = 0.001) but none of them were independent risk factors for poor social outcome.

Statistical significance was set at the p = 0.05 level and borderline significance was set at p ≤ 0.10 for all tests.