Excerpts

An ANOVA using Satterthwaite’s method reveals a highly significant main effect of trial IOI ( F = 3.573, p = 0.004).

This difference was highly significant ( P = 0.004).

This difference was highly significant ( p = 0.004, z = − 2.911).

The HCMV-specific T cells detected by ELISPOT-iCL and pp65 pool showed a trend towards higher levels in Controllers than Non-Controllers ( p = 0.004 and p = 0.001, respectively; Figure 5 G,H).

A permutation test further verified that the actual difference in standard deviations between late versus early start groups is highly significant relative to what this standard deviation difference would be under random group labeling (p = 0.004) ( Fig. 1D ).

These differences are highly significant in coronal region a between aI and aIII ( t = −3.06, p = 0.004) and in coronal region b between bI and bIII (t = −2.94, p = 0.006; Supplementary Table S1 ).

After removal of this outlier, differences between the two groups became more highly significant ( P = 0.004).

The authors observed a highly significant reduction in the fraction of patients requiring either chemotherapy dose reductions, treatment delays or treatment interruptions ( p = 0.004); however, unfortunately, the authors did not report whether the study groups differed with respect to the fraction of palliative versus curative settings and the fraction of patients receiving chemotherapy.

Steroid excretions of 5-PT, cortisone, cortisol, PT, and 5-PD were positively correlated with the tumor diameter, with cortisone and cortisol showing a highly significant correlation (p < 0.004), whereas 5-PT, PT, and 5-PD were slightly below the level of significance (Supplemental Table S5 ).

Presence of hyposalivation based on unstimulated salivary flow rate (IUS), although highly significant in the simple logistic regression model (OR: 2.02, 95% CI: 1.24–3.27, p-value = 0.004) was only of borderline significance when adjusted for confounders (OR: 1.68, 95% CI: 1.01–2.79, p-value = 0.046).

Univariate logistic regression in men identified three factors with statistical significance or marginal significance: suboptimal plasma vitamin C (≤8.8 mg/mL) ( p = 0.004), suboptimal serum vitamin B12 (≤300 pg/mL) ( p = 0.062), and low BMI (underweight/normal weight) ( p = 0.011).

Although partial IAB was also more common in COVID-19 patients, this finding did not reach statistical significance ( Figure 1 ). On univariate regression analysis, the presence of COVID-19 infection had a statistically significant association with any degree of IAB (p<0.004), whereas the p-value was >0.05 for all other associations with QTc, QTd and TPe.

However, despite the influence of age and waves on hospitalization length, the model having sex as predictor still remained highly significant ( P = 0.004, HR = 1.232, CI = 1.071–1.418).

Further, two-way ANOVA analysis of the HFD-fed groups indicated a significant or nearly significant effect of BC lowering fasting blood glucose ( p = 0.004), insulin ( p = 0.047) and HOMA-IR ( p = 0.053), and no significant effect of MET on these parameters ( p = 0.106, p = 0.610 and p = 0.351, respectively).

Notably, such differences remain highly significant ( p =0.004 for CK7 and p =0.009 for MUC5AC) when the analyses were restricted to jejunal-ileal tumours only (i.e. 50 CrD-SBCs vs 45 no-PID-SBCs).

Specifically, WT mice performance showed a highly significant negative correlation with weight ( P = 0.004), and APP/PS1 KI mice showed a similar pattern that did not reach statistical significance ( P = 0.052).

HCC patient race exhibited a significant trend (chi-square test, p = 0.004), as shown in Figure 6 E, where a higher proportion of SR+ and SR- HCC tumors were found in white and Asian patients, respectively.

A highly significant main effect [ F (1, 11) = 13.01, p < 0.004] of Period corroborated that the LRP was reliably triggered.

They are nevertheless highly significant (p = 0.004 in [PIN+] cells, one-tailed T-test), and we have modified the figure and text to clarify this.

In contrast, the proportion of fT3 to tT3 was highest in mole-rats (0.38±0.14%; rats: 0.17±0.09%; guinea pigs 0.23±0.08%), with differences being statistically significant in the comparison with rats and close to significance threshold in the comparison with guinea pigs (one-way ANOVA: F = 7.724, p = 0.004; Bonferroni post hoc comparison: mole-rats vs. rats: p = 0.004; mole-rats vs. guinea pig: p = 0.075; rat vs. guinea pig: p >0.99; Figure 4 ).

However, when all GI conditions were added to the same adjusted model, the association did not reach statistical significance, using a threshold of p = .004.

However, the change in chewing difficulties between baseline and both at six months and twelve months after overdenture were highly significant after McNemar tests for carrots (Chi 2 = 11.0; df:2, p = 0.004 and Chi 2 = 13; df:2, p = 0.002, respectively); salads (Chi 2 = 12.0; df:3, p = 0.007 and Chi 2 = 16; df:3, p = 0.001, respectively); meats (Chi 2 = 11.8; df:3, p = 0.008 and Chi 2 = 15; df:3, p = 0.002, respectively); boiled vegetables (Chi 2 = 7.7; df:3, p = 0.05 and Chi 2 = 7.7; df:3, p = 0.05, respectively); and apples (Chi 2 = 12.0; df:2, p = 0.003 and Chi 2 = 13; df:2, p = 0.001, respectively).

Feces At all three time points, a significant or near-significant enrichment was found in biopterin metabolism (day 7: p = 0.004; day 28: p = 0.055; term: p = 0.010).

Skill variable is also marginally significant: after the Skill game the subjects overall subtract 15% less of their targets' winnings than after the Luck game ( t = −3.66, p = 0.004).

Regression analyses indicated that for both dentate regions and for both behavioral measures there were highly significant correlations between system state (PCA1) and behavior ( Figure 3: Immobility in the FST – ventral: Spearman r = −0.63, p = 0.004***, dorsal: Spearman r = −0.63, p = 0.004***; Latency to eat in the NSF – ventral: Spearman r = −0.79, p<0.001***, dorsal: Spearman r = −0.81, p<0.001***).