“nearly significant”

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

The covariates, which were found to be significant or nearly significant (p≤0.10) in univariate analysis, were included to construct a multivariate model for assessing determinants of treatment failure by forward stepwise logistic regression.

Possible significant, nearly significant ( P < .1) and clinically important confounding factors were identified from background information, delivery characteristics, and intervention data.

When the number of TUNEL-positive cells/cubic millimeter (mm 3 ) was computed, there was a significant reduction of TUNEL-positive cells after treatment with E+P (p=0.04), and a nearly significant reduction occurred with P-alone (p=0.1) as illustrated in Figure 4B .

DHA-supplemented HS males did show a nearly significant decrease in duration (M = 30 s, SE = 5.03, p = 0.10) compared to control-fed HS males and spent the least total time grooming than all other mice ( Figure 3 A).

As indicated by the higher likelihood scores of model M2a ( Table S3 ), these tests provide significant evidence of adaptive evolution within ESAGs 4, 5, 6, and 7, and are nearly significant (p<0.1) for ESAG1 and ESAG3b .

Those variables that were significant or nearly significant (i.e., p <.10, two-tailed test) in the initial ANOVAs presented above were used in subsequent analyses.

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

Metabolites found significant (p-value ≤ 0.05) and nearly significant (p-value ≤ 0.10) according to a student t-test are included.

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

This difference was nearly significant (0.05<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.

Overall, all factors retained a statistically significant or nearly significant association ( P < 0.100) with the likelihood of severe postoperative complications when included in the model, with the exception of WBC count ( P = 0.250) and high-grade histology ( P = 0.396).

Then, the variables that were found to be significant or nearly significant ( p < 0.1) in univariate logistic regression analyses were included in a backward-stepwise multivariate logistic regression analysis.

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 interactions of year (2000 or 2011), gender (boy or girl) and age (0–12 or 13–18 years) were tested and, if there were nearly significant interactions ( p < 0.10), were analyzed further by dividing the data by the interactive effect.

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.

Multivariable logistic regression of predictors of adverse events was performed to adjust for EUS-BD route if univariable analysis was significant/nearly significant ( 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.

This is supported by the significant ( P < 0.05) or nearly significant ( P < 0.10) differences from 100 (i.e., similar efficacy) in the RBA of DL-Met to L-Met shown by both the linear and exponential models for ADG and FCR.

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

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 addition, there were 2 biomarkers of interest with nearly significant ( p < 0.10) alterations during the disease state: IL-31 (mean of 104 vs. 67 pg/mL; p = 0.0517) and IL-27 (mean of 2129 vs. 1542 pg/mL; p = 0.0754).

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.

Carriers appeared to be at greater risk of asthma compared to Low IRT controls, with a nearly significant adjusted risk ratio (aRR) of 1.29 (95% CI: 0.98, 1.69; p < 0.1).