Excerpts

The effect of MDMA on positive mood was highly significant (p<.001) in the GLM model including pindolol, and almost reached significance (p = 0.057) in the GLM model including ketanserin.

Timepoint, treatment, and the timepoint * treatment interaction were all highly significant in a general linear model on log-transformed data (df: 1, 37; all P -values < 0.001; treatment, JA: F = 110.5, JA-Ile: F = 181.9; timepoint, JA: F = 87.78, JA-Ile: F = 34.88; interaction, JA: F = 32.04, JA-Ile: F = 17.60).

The results were interpreted as significant ( P < 0.01), highly significant ( P < 0.001) and insignificant ( P > 0.05).

In contrast, a highly significant difference was documented between SMIC at time point A and C, with a mean value increasing from 1:130 to 1:412 ( p < 0.001).

In the T1D group, the overall model was highly significant (F = 18.589, p < 0.001), explaining 36.4% of the variance in LEP levels (R 2 = 0.385).

NT-proBNP showed an increasing trend among quartiles (p<0.001).

An increasing trend in the quantity of average vaping was found over time ( BF (14, 130.955) = 0.954 p < 0.001), although the Bf < 3 ( Table 1 ).

This model remained highly significant, F (2, 163) = 32.296, p < 0.001, accounting for 28.4% of variance in PPD symptoms ( R 2 = 0.284, Adjusted R 2 = 0.275).

Highly significant between-groups differences (p < 0.001) were obtained for the three SPUR form score means of the groups based on: latent traits, ACCEPT General Scores, MARS scores, BMQ Necessity scores and BMQ Concern scores.

There was a highly significant decrease in the mean value of serum adiponectin level in liver fibrosis-induced groups II and IV compared to normal groups I and III, respectively ( P < 0.001), as shown in (Table 1 ) .

The regression analysis in Figure 5 indicates the highly significant linear relation between risk and management intensity indexes (R 2 = 0.677, P < 0.001).

Statistical Modeling and Interaction Effects The linear mixed-effects model (LMM) revealed a highly significant interaction between material type and sterilization status ( p < 0.001).

In the ITS analysis, there was a significant increase in the odds of arriving at the hospital within 3 hours from the end of the precampaign period to just after the beginning of the campaign (odds ratio [OR], 8.01; 95% CI, 7.17-8.95; P < .001), with an increasing trend after the campaign (OR, 1.08; 95% CI, 1.06-1.10; P < .001).

The differences between the two groups were highly significant for all comparisons ( P < 0.001), except for the comparison of the PCT concentrations in bacterial and viral infections with a likely diagnosis based on objective findings.

These findings suggest that worsening lipid profile test values can be positively correlated with increased severity of periodontal disease [highly significant P < 0.001].

Construct validity The KMO statistic was 0.84 suggesting that the dataset was suitable for factor analysis, and Barlett’s test of sphericity was highly significant (CHISQ=7,893, df= 595, p<0.001) indicating it was highly unlikely that the individual items are not inter-correlated.

In ferret tracheae, we found the effect of metachrony on MCT to be highly significant even when controlled for CBF and ASL ( P < 0.001, Table 2 ).

This shows a very highly significant relationship between those who are familiar with firearms and the risk of suicide (OR = 2.09, P < 0.001), expressing double suicide rate in those with an identified exposure to weapons.

The independent-samples t -test showed a highly significant difference ( t = −20.001, p < 0.001), further confirmed by the Mann-Whitney U test (U = 0, p = 0.008).

LMM analysis demonstrated that the main effect of stage was highly significant for all hemodynamic variables, including systolic blood pressure, diastolic blood pressure (DBP), MAP, and CPP (all P < 0.001, Table 4 ), indicating substantial changes in hemodynamic status from the compression stage through to the post-ROSC period.

Statistical evaluation showed strong positive Spearman rho correlation (r s =0.790) between Johnsen scoring and CDC25A-positive cells which was highly significant at p<0.001.

There was a highly significant increase in PDL1 expression and decrease in Ki-67 (each p < 0.001) in microinvasive cancer compared to CIS, whereas p16 and E6/E7 remained stable.

Across sessions, the shift in cue–reward index from adolescent Session 1 to Session 7 was highly significant in ST subjects ( Z = 6.59; p < 0.001, Wilcoxon rank-sum test) but not in GT subjects ( Z = 0.08; p = 0.94).

However, a highly significant difference was found among the monthly average sizes for each sex ( p < 0.001), indicating that the captured population size varied considerably throughout the study period.

The subsequent PERMANOVA confirmed very strong, highly significant metabolic shifts comparing predose and postdose metabolomics signatures with F = 20.665, R 2 = 0.408, p = 0.001 for visit 2 and with F = 16.084, R 2 = 0.349, p = 0.001 for visit 1, based on 999 permutations in both analysis cases.