“borderline significant”

rs6483495, an intronic variant of MAML2 located at 11q21, showed the borderline significant p -value (Beta = −0.14, P = 5.4 × 10 −8 ) (Fig. 2b and Table 2 ).

Relative to central hospitals, patients at hospitals in the most peripheral quartile had significantly higher odds of death, but patients at hospitals in quartile 2 were no different from the reference, and those in quartile 3 were borderline significant for reduced mortality (OR (95% CI): Q1 2.10 (1.76–2.51), p<0.0001; Q2 1.00 (0.87–1.15), p = 0.997; Q3 0.89 (0.79–1.00), p = 0.050; Q4 (reference)).

The rs748096191 genotype also showed significant association with LDL, and non-HDL cholesterol levels and borderline significant association with total cholesterol level after Bonferroni correction ( p = 2.00 × 10 −4 , p = 2.68 × 10 −4 , and p = 8.20 × 10 −4 , respectively).

Correlation of knowledge, attitude, and need scores A borderline significant difference was observed between caregivers and healthcare providers in terms of relief from pain and other symptoms ( p < 0.001) (caregivers’ score: M = 4.29 ± 0.27; healthcare providers’ score: M = 3.86 ± 0.29) (Table 5 ).

BME in the posterior-medial tibia, PHLM tears, and MCL tears were statistically significantly associated with ALL tears; LCL tears were borderline significant ( p < 0.001–0.003, Table 4 ).

In the stationary beam test, HET animals covered a lower number of segments (58/2: 6 months t(34) = 3.360, p = 0.002; 9 months, borderline significant; 12 months t(20) = 3.929, p = 0.001; 58/4: 3 months t(9) = 4.236, p = 0.002; 6 months t(20) = 3.403, p = 0.003; 9 months t(15) = 2.916, p = 0.010; 12 months t(16) = 2.916, p = 0.010), thus traveling a shorter distance, and had a higher number of falls than WT animals ( Table 1 ).

A one-sided t-test on the personal axis is borderline significant ( μ : 57.35, σ : 8.53, CI : [53.94, 60.77], t (23) = 4.22, p = 1.29 × 10 −3 , d = 0.86).

Conversely, examining individual genes in START showed a borderline significant association between IFNW1 , and study entry VL (P = 0.0025).

This comparison for CD3+IT-CD8 was borderline significant ( P = 0.01) ( Fig 2F ).

Significant improvement in ADL of the hand manipulation domain and borderline significant improvement in ADL of the mobility domain were observed (McNemar test p =0.011 and 0.072, respectively).

Trauma center designation was not made available in the multivariate logistic regression analysis for calculating propensity scores due to >10% missing data, and ISS (polytrauma) was included because it was borderline significant ( P =0.014) Second, the propensity score was used to match operative and nonoperatively managed patients 1:1 based on caliper distance of 0.05.

Considering the Bonferroni correction at p < 0.01, there was a borderline significant ( p = 0.015) decrease in the mean total of vegetables that children had never tried or were not sure if they tried between preprogram (1.82 ± 1.84) and post-program (0.95 ± 1.33).

3.1 AD and cortical thickness We found a borderline significant association between AD and the decreased CT in the posterior cingulate (IVW‐MR: β = −0.065, p = 0.018, p‐corrected = 0.551) and isthmus cingulate regions (IVW‐MR: β = −0.086, p = 0.003, p‐corrected = 0.188) (Figure 2 , Table S3 ). 3.2 AD and CA We found a borderline significant association between AD and the decreased SA in the supramarginal region (IVW‐MR: β = −0.047, p = 0.044, p ‐corrected = 0.714) and the increased SA in the isthmus cingulate regions (IVW‐MR: β = 0.053, p = 0.018, p ‐corrected = 0.714) (Figure 2 , Table S3 ).

Only race had an association with RFS that was borderline significant (adjusted p-value = 0.018) after correcting for multiple testing, suggesting the lack of prognostic prediction power of these conventionally used variables.

Univariate analysis of overall survival using the Cox model showed that stage ( P < .001), CA19-9 levels ( P = .004), and CRHR1 status ( P = .038) were significant factors, and the subsequent multivariate analysis revealed that of these, stage and postoperative CA19-9 levels were borderline significant factors ( P = .02 and .001, respectively) without multicollinearity ( Table 3 ).

For the study population, both young adults (ages 19–54 years; n = 100; TT = 61, G -allele carriers = 39) and older adults (ages 55+ years; n = 124, TT = 69, G -allele carrier = 55), carriage of the G -allele was associated with a borderline significant retention of FOXO3 expression as a function of age (Fig. 3a , younger participants: P = 0.02; Fig. 3b : P = 0.08).

In PWHIV, there was a borderline significant correlation between GLS and log 10 CD4 cell count [coefficient 0.79 (95% CI: 0.12, 1.45) p = 0.022]; however, this was no longer significant after adjustment for covariates (smoking, recreational drug use, fasting glucose, cholesterol, HDL, BMI, heart rate, systolic BP, diastolic BP, sex, and left ventricular mass index).

The Seahorse XF Glycolytic Rate analysis showed a significant increase in basal glycolysis and borderline significant increase in compensatory glycolysis in the A549 HERC5 KO cell line compared to A549 PAR (Fig. 6 B; basal glycolysis: p = 0.023; compensatory glycolysis: p = 0.053).

Testing copanlisib exposure variables on the RBCM for PFS in copanlisib‐treated patients only demonstrated a statistically significant, positive ER relationship for PFS for all three time‐varying copanlisib exposure estimates ( C avg,2wk : p = 0.002; C avg,4wk : p = 0.004; C avg,8wk : p = 0.002), along with a borderline significant ( p = 0.023) relationship for copanlisib exposure expressed as time‐invariant AUC (0–168)nd (Figure 3b ), indicating that higher exposure in copanlisib‐treated patients was associated with prolonged PFS.

The Moran I statistic indicated no significant spatial autocorrelation for most WaSH components (water, Moran I = 0.0998 and P = .14; hygiene, I = −0.1447 and P = .76), with the exception of a borderline significant value for sanitation ( I = 0.2223 and P = .024), hinting at potential localized effects.

For nucleus accumbens there was a significant group × time × sex interaction ( p = 0.011) and post hoc tests of the patients group revealed a borderline significant month × sex interaction ( p = 0.026) due to a trend for lower rCBF in female patients at baseline.

There was a borderline significant difference in SE among the different grades of FT in the macular area ( P = 0.029), but no significant difference in other areas.

MET-min/week, as a parameter reflecting physical activity, showed a borderline significant effect on FF (P=0.034), but this effect was only observed for one muscle (ES) and only when considering the logarithmic value of this parameter.

Beta Diversity Analysis Treatment grouping/phase was found to be significant in regard to grouping across PCA dimension one ( p = 0.001) and to be significant/borderline significant in regard to dispersion across PCA dimensions one to three ( p = 0.0368, 0.0416, and 0.0624, respectively).

Decomposing PI impairments In contrast to the third “no distal cues” condition, performance differences between baseline and “no optic flow” conditions (return condition two) were borderline significant for hereditary but not physiological risk factors (two‐way FH x APOE ε4 F 1,77 = 4.42, P = 0.039; post hoc pairwise tests all P Tukey > 0.138; Figure 1E ), indicating that the PI impairment observed across all AD risk groups related specifically to orientation cue removal.