This difference in proportion of males between wet-comb group and mousse-treated group was statistically significant (p < 0.05) and the difference between wet-comb group and the lotion-treated group was nearly significant (0.05 < p < 0.1).
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“nearly significant”
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p=0.0579p=0.06
In the literature
Lung function–PM analysis Although none of the lung function metrics showed associations below the p < 0.05 significance threshold with any of the exposure variables evaluated in the mixed model, several relationships were nearly significant ( p < 0.10) for decreased lung function versus increased personal pollution exposure ( Table 2 ).
Prognostic factors Significant and nearly significant ( P < 0.1) variables from the univariate analysis were included in a multivariate binary logistic regression model.
Those factors with a significant ( p < 0.05), or nearly significant ( p < 0.1) difference between groups at baseline, as well as those with a significant association with mortality in the univariate analysis, were stepwise entered in a multivariate Cox 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 selected as potential confounders.
If the main effects or interactions were significant ( P ≤ 0.05) or nearly significant (0.05 < P ≤ 0.1) in the models, the Bonferroni correction post-hoc test was applied for pairwise comparisons.
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).
IL-12 levels were higher in those with the syndrome ( p < 0.10), and the increases were nearly significant for IL-1β ( p < 0.10), IL-6 ( p < 0.10), and IL-10 ( p- value > 0.05).
This analysis identified a region in RNASE3 (nucleotides 776–950) that exhibited a nearly significant departure from 0 in the Ghanaians population (D = 1.80; p <0.1), indicating that frequency-dependent selection was operating at the c.371G>C SNP.
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.
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.
Mutual adjustment were then applied including all significant or nearly significant factors (p<0.1) with additional adjustment for gender, age and current smoking.
Note that the effect of squirrelfish/bigeyes was nearly significant with a p-value < 0.10.
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).
The variables that showed significant, or nearly significant ( p < 0.1), relationships in univariate analyses were included in the final logistic regression models, and adjusted odds ratios (ORs) were generated for 2 outcomes: availability of any results and availability of peer-reviewed results.
In the control group, however, subjects developing diabetes had sustained a mean weight gain of 1.8 ± 3.3 kg, whereas those remaining diabetes-free had an average weight loss of 1.1 ± 4.4 kg, a nearly significant difference ( P = 0.10).
There was a nearly significant difference in the type of gene mutation observed between the non-progression and PGs (P<0.1).
Significant ( p < 0.05) or nearly significant factors ( p < 0.1) in bivariate analysis were chosen as potential risk factors for complications.
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).
In terms of support-seeking behavior, students who sought support scored higher (M = 6.63, SD = 0.839) compared to students who did not seek support (M = 6.0, SD = 1.941) but it was nearly significant (F = 2.716, p = 0.101) Family mental health was not statistically significant (F = 1.93, p = 0.165). 4.7.
Of note is the nearly significant elevation in mean SmO 2 resat from Sept-Nov (MD = 0.21, SEE = 0.10, df = 15.0, t = 2.19, p = 0.105) that preceded this significant decline.
IVIG significantly affected gastrointestinal cancers ( p = 0.0175, Table 2 ) and was nearly significant for dermatologic cancers ( p = 0.11, Table 2 ).
When using baseline and post-follow-up (ie, 12 months) time points, there was a nearly significant group-by-time interaction for CRP ( P = .11).
On the lowland Webster soil, the main treatment was nearly significant ( P = 0.11).