This performance difference remained highly significant in the randomized k-fold evaluation, where significant differences were again observed for both the low [χ 2 (3) = 135.05, p ≤ 0.001) and high [χ 2 (3) = 162.84, p ≤ 0.001] class-separability contrasts. 4 Discussion The objective of the current study was to investigate the extent to which pBCI model evaluation metrics may be biased when temporal dependencies between train and test samples are not considered in cross-validation.
Excerpts
When comparing the treatment periods with the baseline, we found highly significant differences for HVE and combination treatment periods ( P < .001), whereas we found no significant difference with the posttreatment period ( P = .274).
In our study, we report a highly significant statistical association between the presence of hr-HPV infection and detection of methylated P16INK4A forms ( p < 0.001) as showed by SPATHIS et al. 19 .
According to ROC-analysis, ASP after 12 months showed a highly significant AUC of 0.94 (p <0.001) to differentiate between the two response groups.
As for DEXA parameters ( Figure 1 , Table II ), highly significant changes ( p < 0.001) were observed for FMI, 19.5 ±4.7 vs. 12.1 ±3.7 kg/m 2 , Est VAT, 235.8 ±70.0 vs. 126.5 ±50.4 cm 2 , LMI 22.1 ±2.4 vs. 18.1 ±2.3 kg/m 2 , ALMI 9.7 ±1.3 vs. 7.7 ±1.1 kg/m 2 , BMC 1.22 ±0.1 vs. 1.12 ±0.1 kg, Z score – for age under 50 (2.32 vs. 0.96) and T score – for age above 50 (0.58 vs. –0.58).
NPRS–Leg Pain Results A highly significant group × time interaction was observed for radicular leg pain (NPRS–Leg), F(1,38) = 120.73, p < 0.001, η 2 p = 0.761 ( Table 3 ), indicating that the magnitude of improvement differed markedly between the two interventions.
Significance was reported using standard academic conventions, with stars indicating levels of significance: * p < 0.05 (Significant); ** p < 0.01 (Highly Significant); *** p < 0.001 (Very Highly Significant).
Nonreacting (FFMQ) The full-null model comparison was only marginally significant after correction for multiple testing ( χ 2 = 116.82, df = 13, p < 0.001, p cor < 0.001, R 2 marg = 0.050, R 2 cond = 0.622; see Fig. 3 for scores and Fig. 6 for a visual summary).
Hydropower exhibited a highly significant negative correlation with energy efficiency (-0.632, p < 0.001), with a regression coefficient of -7.642 × 10−4 ( p < 0.001).
In this experiment, participants reported self-caught mind-blanking in two back-to-back reading periods; a decreasing trend of reports over time occurred within each reading period, F time(1, 212) = 45.14, p < 0.001, but total mind-blanking did not differ between the two periods, F period(1, 212) = 1.69, p = 0.20 (3b).
However, the differences in the number of decayed teeth in the gender comparison were highly significant: Males had significantly more decayed teeth ( p <0.001).
There were highly significant differences ( p < 0.001) in the occurrence of enterococcal species between lofts.
In addition to the highly significant main effects of all four factors (species, mycorrhization, competition, and parasitism scale) on biomass ( p < 0.001; Table 3 ), significant interactions were found for all factor combinations ( p < 0.05), except for “species × mycorrhization × competition,” “species × competition × parasitism scale,” “mycorrhiza × competition × parasitism scale,” and the combination of all four factors (Table 3 ).
3.3.2 Reline Bond Strength The random‐effects synthesis of all 115 comparisons (Figure 4 ) demonstrated a large and highly significant reduction in reline‐to‐base bond strength for AM denture bases compared with SM ones (pooled SMD = –2.603, 95% CI –3.186 to –2.020; p < 0.001; τ 2 = 9.53; I 2 = 96.5%), meaning that AM bases consistently showed lower adhesion values than SM bases.
In rectal CA, a highly significant prognostic factor was determined: the occurrence of complications was associated with a 1,8-fold increased risk of death (HR: 1.80; 95-% CI: 1.38–2.34; p<0.001).
A Chi-square test confirmed a highly significant alteration in disease severity distribution following AJ treatment (χ 2 = 24.56, p < 0.001).
There was a significant MLR model for systolic BP—the overall model was highly significant (F(6329)=8.5, p<0.001), explaining 13.8% of the variance (adjusted R 2 =0.122), with three significant predictors: age (β=0.149, p<0.01), gender (β=0.189, p<0.005) and BMI (β=0.227, p<0.001).
For patients aged below 81 years, the adjusted ICU mortality rate was 13.5%, while for those aged 81 years and above, the rate was 19.8%, with a highly significant difference (p < 0.001).
The attitude most strongly associated with adherence was the desire to avoid health complications from gluten consumption, which showed the largest mean difference between adherence groups and a highly significant association ( P < 0.001).
These reductions were statistically highly significant compared to the control group ( p < 0.001).
Still, they became highly significant ( p <0.001), reinforcing their central role in exacerbation risk.
Results of blood glucose are highly significant ( P < 0.001), HbA1c ( P < 0.01) and lipid profile cholesterol ( P < 0.01) and TG ( P < 0.01), LDL ( P < 0.01) are significant but HDL ( P < 0.02) and VLDL not significant ( P < 0.03) in study groups as compare to control group.
Non-anesthesia professionals and patients exhibited mixed results (median: 1.00; IQR: 0.00, 1.00), while the general public largely omitted procedural descriptions (median: 0.00; IQR: 0.00, 0.00), with highly significant group differences ( P < 0.001).
Behavioral EI had a highly significant relationship (β = 0.64, p < 0.001, n = 100) with perceived leadership effectiveness and no relationship with engagement ( Miller, 2014 ).
In the multivariate linear regression model predicting retro walking time, the overall model was highly significant (F = 15.288, df = 8, p < 0.001).