“borderline significant”

Statistically significant and borderline significant variables ( p < 0.1) were included in a multivariate analysis.

Mean convulsions per mouse The analysis of variance results showed a significant overall effect of ethanol pretreatment and bupropion dose on the number of bupropion HCl-induced seizures, and a borderline significant overall ethanol-bupropion interaction effect at the p ≤ 0.10 level (Table 3 ).

We highlight results that are significant ( p < 0.05) and borderline significant (0.05 ≤ p < 0.1) while focusing on the magnitude of the odds ratios to provide insight about our findings [ 24 ]. 3.

For the optic tectum and medulla, we found differences in the degree of sexual dimorphism in the relative volume of these regions across populations (interaction between sex and population: p < 0.05; figure 2 ; electronic supplementary material, table S9), although for the remaining regions this interaction remained borderline significant ( p < 0.1 figure 2 ; electronic supplementary material, table S9).

In case the interaction between genotype and treatment was significant or borderline significant (P<0.1), the differences were evaluated in more detail by separately analyzing the effects of genotype and treatment using Bonferroni-corrected two-sided unpaired t-tests.

Although these associations were attenuated in Models 2–4, the association for dipstick proteinuria 1+ was borderline significant (e.g., p = 0.1 in Model 4).

This showed no main effect of drug [ F (1,27) = 0.063; p > 0.05], no time × drug interaction [ F (1,27) = 0.140; p > 0.05], but a borderline significant main effect of time [ F (1,27) = 4.185; p < 0.1].

The models were refitted with possible confounders (that were borderline significant predictors ( p -value < 0.1) of measurement magnitude in univariate models) to adjust for the effect of these variables. 3.

Traditional diabetic nephropathy risk factors were included in model 1 and factors that showed a statistically significant ( P <0.05) or borderline significant ( P <0.10) associations in the univariate analysis were included in model 2.

Spearman correlation coefficients were borderline significant ( p < 0.1) between Mn dust loading (μg/m 2 ) and prenatal Mn dentin ( r s = 0.27, 95% CI: −0.06, 0.55) and cord blood Mn concentrations ( r s = 0.29, 95% CI: −0.05, 0.57).

Statistical significance was set at P <.05 but because of the small sample size, borderline significant results ( P <.10) were also reported.

On the Pfizer announcement day, ARs for 9 of the 16 firms were positive and significant ( P < 0.05), and 2 more were borderline significant ( P < 0.1).

However, the relationship between gender and enrollment rate was borderline significant at p = 0.10.

A space–time analysis examined new leprosy patients at the subdistrict level, and we found eight high-incidence clusters, of which three were statistically significant and two were borderline significant ( p < 0.10).

Variables that were shown to be significant or borderline significant (p < 0.1) in a univariate analysis were selected for multivariate analysis.

Only for impedance was the result of the statistical analysis for NRF9.3 borderline significant ( p < 0.1), and it decreases in successive tertiles, as shown in Table 7 and Table 8 .

Heterogeneity remained borderline significant (p = 0.1, I 2 = 57.4%), suggesting that the variability in study results was due to factors other than differences in follow-up time or INR.

In contrast, a borderline significant association with higher OR for lymphocytopenia was seen when tacrolimus trough levels increased (aOR 6.94 [95% CI: 0.71–67.62], p = 0.10).

Effect estimates were considered statistically significant if p < 0.05, and borderline significant if p < 0.10 [ 33 ].

The log-rank p-value was 0.078, suggesting a borderline significant difference ( p < 0.10).

Any effect (HAp, time, or Hap*time) with a p-value less than 0.05 was considered significant and for borderline significant values of 0.05 < p < 0.1 the result was simply noted.

For three of the seven SNPs, the between-study heterogeneity Q test P -value was borderline significant (0.01 < P < 0.1) when considering that nine independent tests were conducted; however, the results from the random-effects model allowing for heterogeneity showed negligible difference from those obtained using fixed-effect meta-analysis, and they reached genome-wide significance under both models, demonstrating the lack of evidence for significant heterogeneity of signals between studies (Table II ).

lateral) lead position, and borderline significant for inferior lead position 4 ± 28 ms ( p = .10 vs. lateral). 3.1.

Additional factors were only included if they had been significant or borderline significant (p < 0.10) in bivariate analysis.

We found a statistically significant linear sex-by-overall-metals-exposure interaction term (OR = 2.1; 95% CI: 1.8, 2.5), as well as statistically significant sex-by-pollutant interactions for nickel and antimony, and borderline significant interactions ( p < 0.10) for cadmium, lead, and trichloroethylene.