“highly significant”

In the trend analysis, a decline was found for all mortality rates that is highly significant ( p < 0.001).

The immediate reductions in transmissibility accounting for the effect of PHSMs were highly significant (p values <0·001) and with estimated reductions ranging from 17% (95% CI 13 to 21) to 41% (35 to 46) across the locations and countries, with comparatively higher reductions for Hong Kong and Italy, for which the COVID-19 PHSMs were implemented just before or around the expected seasonal peak ( figure 2 , table , appendix 1 p 21 ).

The analyses of co-variance revealed a highly significant effect of group ( F 1,50 = 44.23; p < 0.001] with a large effect size (partial η 2 = 0.47) and high power (1− β > 0.99) given the sample size of the analysis.

14 out of 15 post-hoc tests between the different groups were highly significant ( P < 0.001), with the only exception for the yellow-orange morph that did not differ from the orange ( P = 0.11).

One-Way ANOVA indicated highly significant effects of model variant on Clean Accuracy (F = 26.21, p < 0.001, η 2 = 0.019), Adversarial Accuracy (F = 168.39, p < 0.001, η 2 = 0.112), and Robustness Drop (F = 124.28, p < 0.001).

Paired samples t -test analysis confirmed that this reduction was highly significant ( t = 10.278, p < 0.001).

The finding that individual HDI components modelled continuously were not significantly associated with mortality in unadjusted analyses, while fully adjusted continuous HDI was highly significant (OR 0.33; P < 0.001) and restricted cubic splines confirmed a significant overall association (χ2 = 24.7; P < 0.001), warrants careful interpretation.

In the model with ACE/non-ACE as a fixed effect, the variable was highly significant in the prediction ( p < 0.001).

Pooled over groups, the heterogeneity was very highly significant (P < 0.001) in both sexes.

This difference is highly significant ( p ≤ 0.001).

As expected in the MoBaNeuroCog sample, all total brain measures and WM, were significantly non-linearly related to age, as indicated by estimated degrees of freedom (edf) substantially greater than 1 and highly significant smooth terms (area: edf=5.52, F=143.1, p < .001; volume: edf=7.17, F=78.7, p < .001; thickness: edf=5.23, F=62.0, p < .001; WM: edf =4.74, F=213.4, p < .001).

Together the compiled data set showed that the effect of NBQX on frequency of the steady-state locomotor activity was not statistically significant when the control frequency was below 0.4 Hz (period 2.5 s) ( n = 9; Figure 3 C, left), but there was a highly significant decrease in the frequency when the initial locomotor frequency was high ( n = 9, p < 0.001; Figure 3 C, right).

In a naturalistic study of 53 patients with psychotic disorders prescribed sertindole (8–24 mg/d) before its withdrawal from the market, improvement in global assessment of functioning (GAF) and CGI scores between admission and discharge was highly significant ( P < 0.001). 80 Another smaller observational study of 34 patients with psychotic disorders reported an 85% response rate (defined as achieving a CGI score ≤ 3) with sertindole use initiated in the inpatient setting. 42 In summary, both real-world and clinical research data support the efficacy of sertindole in the treatment of patients with schizophrenia (and to a lesser extent other psychotic disorders), although current evidence for its efficacy is limited to comparisons with placebo, haloperidol, and risperidone.

Moreover, participants who expressed the need for further information about their procedure were more likely to display preoperative anxiety with 74.5% of those who requested additional information showing anxiety in comparison with 43.2% who did not with a highly significant association ( P < 0.001).

There was a highly significant linear relationship between AUC 0− t and the total dose of CYT997 infused ( P <0.001; Figure 1A ), indicating that the pharmacokinetics of CYT997 were linear over the entire 50-fold dose range investigated in this study (7–358 mg m −2 ).

Univariate Cox regression analyses revealed LA LAS as a highly significant predictor of MACE within CMR-derived functional parameters (HR 0.85, 95% CI 0.82–0.88, P < 0.001).

The overall differences among the three methods were highly significant ( P < 0.001).

The chi-square analysis showed highly significant association of RBCs/ECs ratio in severe candida infection for 2015 (χ2 = 14.98, p < 0.001), 2016 (χ2 = 15.13, p < 0.001), 2017 (χ2 = 40.6, p < 0.0001), 2018 (χ2 = 27.37, p < 0.001), 2019 (χ2 = 23.37, p < 0.001) and 2020 (χ2 = 8.431, p < 0.001).

Results The GBD analysis revealed that discontinuous breastfeeding was a highly significant risk factor for childhood AD (R2 = 0.21, p<0.001) and remained a key independent predictor in the final multivariate model (p = 0.016).

Likewise, liver bacterial load results showed that compared with the PC group, the P and C groups exhibited significantly reduced liver bacterial load (P < 0.05), while the CPH and CPL groups demonstrated highly significant reduction ( P < 0.001) ( Fig. 6 D).

The mean female transmission rate was 83.3 per cent (95% CI = 71.2–93.1%), and mean male transmission was considerably lower at 46.9 per cent (95% CI = 35–59%), a difference that was highly significant (generalized linear model (GLM) with quasi-binomial error structure, t 79 = 3.975, n female = 39, n male = 48, p < 0.001).

The initial column (Table A6) considers only ED attendances and migration status in 2017, revealing that first- and second-generation immigrants experience positive and highly significant differences of 2.9% and 5.1% (1), respectively, compared to Swiss natives ( p < 0.001).

In the AdheSE group (ASE), the difference was very highly significant ( P = 0.001) between the control (ASE-I) and the contamination sub-group (ASE-II).

An alternative analysis using Poisson regression showed a highly significant ( p < 0.001) linear mortality decline over the full period 1998–2007.

Although there was no significant association between ponesimod systemic exposure (AUC ss ) or PD end points (LC ss or ΔLC ss ) and ARRs, there was a highly significant association between CUALs and ARRs, resulting in a MVOF decrease of 34.838 points (df = 1, p < 0.001).