“nearly significant”

β sor ) of the three animal groups consistently exhibited significant ( p ≤ 0.05) or nearly significant (0.05 < p ≤ 0.1) linear patterns as elevational distance increased.

The outcome of the “more than (or equal to) one year” group showed a nearly significant difference, which favored EAH (RR = 0.87, 95% CI = 0.74 to 1.03, p = 0.10); therefore, should the number of patients increase, EAH might have the advantage of improving the patency rate.

We also found that Genet (the family of the selfed and outcrossed seeds) has a significant (or nearly significant; 0.05 < p < 0.10) effect on many of our measures of vegetative vigor and reproductive output (Table 2 ).

Differences were considered significant at p ≤ 0.05 and nearly significant at p ≤ 0.1.

All variables that were found to be statistically or nearly significant ( P < .10) entered into the multivariate Cox regression model.

Similarly, the zero-inflated Poisson regression models (GLM) (Table 2 ) showed a significant or nearly significant (p ≤ 0.10) response of the number of backed artefacts to mean annual temperatures, Vostok global annual temperature and the leaf area index.

Significant ( p < 0.05) or nearly significant factors ( p < 0.1) in bivariate analysis were chosen as potential confounders.

Factors that were significant or nearly significant (p < 0.100) in the univariate analysis were included in the multivariate analysis.

Although nearly significant ( P = 0.10), the magnitude of the interaction between pandemic indicator by immigrant status in Model 2 suggests there may be a difference in the reduction of ED visits from 2019 to 2020 between foreign- and US-born mothers.

Factorial analysis using two-way ANCOVA ( Table 2 ) demonstrated that although ADHD and ASD did not affect serum Mg levels, factorial interaction (ADHD×ASD) had a nearly significant effect (p<0.10).

Variables with significant ( p < 0.05) or nearly significant variables ( p < 0.10) were then computed into multivariate analysis by means of a multiple linear regression, in order to identify important contributions in the variability of FAST score values when adjusted for possible confounders.

Enzymes identified to be significantly different ( p < 0.05) or nearly significant ( p < 0.10) between groups in either the pectoralis or gastrocnemius were used as explanatory variables against dive time in phylogenetic least squares regressions (phytools, correlation = Brownian Motion).

A logistic regression model was performed, including the variables which were statistically significant or nearly significant ( p ≤ 0.1) to the likelihood of participants abusing cannabis, derived from the Chi-square analysis.

The Cox models were adjusted for significant or nearly significant ( p < 0.1) predictor for all-cause mortality in univariate Cox regression analysis including age, sex, diabetes mellitus, coronary artery disease, types of dialyzer membrane, serum hemoglobin, serum albumin, and serum TC.

In both multivariate and two-level logistic regression models ( Figure 5 and Table S7 ), the cumulative number of indicators for residential traffic and bedroom ventilation habit had nearly significant interaction effects on childhood pneumonia ( p -value < 0.1).

Developed rules included those covariables that showed significant or nearly significant association ( p < 0.10) with the dependent variable (ICU/death) in age/sex- and multivariable-adjusted logistic regression models.

Similarly, in Magge, one statistically significant (Gi * Z ≥ 1.96, Gi * P ≤ 0.05), and one nearly significant hotspot (Gi * Z < 1.96, Gi * P < 0.1) were identified at the northern and eastern edges of the village, respectively, in which the majority (52.6%) of the mosquitoes were collected (Fig. 2 D).

In our analysis, there was a nearly significant elevation in APP WT beginning at 3 h ( Figure 3 e, p = 0.10), and the activation was sustained at a similar level throughout the experiment (approximately 3–4-fold upregulation, 0.07 < p < 0.1).

In turn, the observed 15% and 19% decrease in hair Se and Zn content in the obese group, these differences were only nearly significant ( p < 0.1).

A small yet nearly significant positive correlation prevailed between belief in climate trends and belief about the causes of climate change (Cramer’s V = 0.18, p < 0.10); respondents who believed that the climate is changing were therefore slightly more likely to believe in its anthropogenic attribution.

Multivariate analysis of significant or nearly significant effects (p < 0.1) of lifestyle variables concerned in this study (maternal age over 35 or under 17, being single mother, primiparity, smoking during pregnancy, history of infertility, previous miscarriages, previous induced abortions, short time or long time since previous pregnancy or using IUD before this pregnancy) was based on multiple logistic regression analysis (BMDP Statistical Software Inc., Los Angeles, CA).

The Cox models were adjusted for significant or nearly significant ( P < 0.1) predictor for all-cause mortality in univariate Cox regression analysis including age, cardiovascular diseases, BMI, diastolic blood pressure (BP), eGFR, serum levels of albumin, albumin-corrected serum calcium, phosphorus and intact PTH, the use of calcitriol or vitamin D analogs, the use of calcium-containing phosphate binder, and types of vascular access.

Non-Spatial Maze An overall ANOVA revealed a nearly significant Treatment effect (F(5, 54) = 1.927, p = 0.1).

Figure 3 shows the items with significant or nearly significant differences ( P < 0.1) in the change in evidence-based status between these groups.

Factors that were significant and nearly significant (P<0.1) were included in univariate analysis.