“marginal significance”

These variables were then screened for marginal significance (p<0.10) related to mortality over the first year after the occurrence of STEMI.

Entered factors were those with at least marginal significance ( p < 0.1) in a univariate analysis. p -values of <0.05 were considered significant.

In contrast, ST307 has an average Jaccard distance of 0.11, and in the opposite limit, ST326 showed the lowest intra-ST diversity, with an average Jaccard distance of approximately 0.02 and marginal significance ( P < 0.1), indicating greater homogeneity in the polysaccharide gene profiles.

Correlations for scores were significant to marginal significance for sessions 1–3 (ranging from R = 0.43 to 0.52 with p < 0.1) but not significant for the fourth session (R = 0.13, p = NS).

Marginal significance was determined by p < 0.10.

Sensitivity analysis reveals that removing Montana, North Dakota, or South Dakota from the sample attenuates this coefficient to marginal significance ( p < 0.1).

Entered factors included those with at least marginal significance (P < 0.1) on univariate analysis, using enter method.

Intriguingly, the transcript levels of most candidate genes showed a moderate to strong correlation with the H3K27ac ChIP-seq signals of the associated SEs, with marginal significance in HMCLs and primary patient samples (r > 0.4, p < 0.1, Supplementary Fig. 4e ).

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 ).

The insula activity in the nonsuicidal depressed patients was at an intermediate level between the suicide attempters and healthy controls, with a marginal significance level when directly compared to each group (p < 0.1, post hoc Tukey’s test).

14%, with marginal significance p = 0.10).

Considering PWHF, there was not only an effect of item type, F (1,17)=5.901, P <0.05, η 2 =0.258, but also a 2-way interaction which only reached marginal significance, F (1,17)=3.879, P <0.1, η 2 =0.186.

Variables showing associations with a p -value < 0.05 and with marginal significance in the univariable analysis ( p -value < 0.1) were entered into the multivariable model.

Rapidly digested starch (RDS) had a marginal significance ( p < 0.1) to decrease linearly from the HS to LS diet.

Outcomes with marginal significance (p-value of ≤ 0.10), considered for further exploration through storytelling sessions, included those associated with a specific advisory group (questions regarding shared partnership values, and research outcomes), respondent role (staff may have greater comfort in group decision-making, and community may feel pressured to conform in decision-making), and frequency of involvement (questions regarding shared partnership values, collaborative decision-making, and education and research initiatives).

Five genes showed marginal significance (0.05 < p < 0.1, Figure 7B ): LRP1 ( p = 0.0556), SZT2 ( p = 0.0638), FAT3 ( p = 0.0654), RB1 ( p = 0.0866) and DNAH9 ( p = 0.0906).

Regarding the effects on HB levels, K and J both achieved potent effects ( P< 0.01, P< 0.05), whereas Y reached marginal significance ( P <0.1).

These analyses were performed using R 4.1.0 (R core Team) with significant differences defined at p < 0.05, and a marginal significance at p < 0.1.

Fully saturated correlation and regression models were examined; paths that did not achieve at least marginal significance ( p < 0.10) were removed to create final models.

All tests were two‐sided, with significance defined as p < 0.05 and marginal significance as 0.05 ≤ p < 0.10.

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

While this marginal significance (p-value < 0.1) might be due to the reduced statistical power of two sample tests in small samples, our finding suggests that despite skull architecture being an important factor in the loss of sutures during both pathological and normal development, there are non-topological factors that further discriminate between normal and pathological loss of sutures.

Due to the small sample, marginal significance (0.05 < P < 0.10) is also reported.

Predictors achieving marginal significance (p value < 0.10) were entered in a multivariable logistic regression model.

Entered factors were those with at least marginal significance ( P < 0.1) with a univariate analysis.