“highly significant”

(2020), self-rated health scores showed a highly significant improvement of approximately 33% post-bereavement ( p < 0.001) [ 25 ].

Gel-tNP versus Gel-tNP + XR showed a highly significant difference ( p < 0.001), with Gel-tNP + XR producing some of the highest ROS levels among the single-modality treatments.

After adjustment, the difference across morbidity groups was highly significant (contrast P < 0.001), with odds ratios of 0.81 (95% CI = 0.77, 0.85, P < 0.001) for the multimorbidity group and 0.94 (95% CI = 0.90, 0.98, P = 0.006) for the single morbidity groups, relative to patients without a medical condition.

When analyzed separately in univariable logistic regression models, maximum PaCO 2 as well as lowest pH showed highly significant associations with poor neurological outcome (OR 1.17, 95% CI 1.06–1.28; P < 0.001 and 0.03, 95% CI 0.01–0.09; P < 0.001, respectively).

A 3 (difficulty) x 11 (sound level) x 2 (noise sensitivity groups) mixed-factors analysis of variance (ANOVA) in which task difficulty and sound level constituted within-subjects factors revealed a highly significant main effect of sound level on the annoyance ratings, F (10,270)=46.06; P <0.001; η 2 =0.19.

The expression level of CpIML4 was highly significant ( p < 0.001) compared to the control group at 24 hpi, indicating that CpIML4 RNAi was reliable for further study.

Highly significant structuring ( P << 0.001 by ANOSIM) was observed for the biopsy samples depending on sampling location, with the main axis of variation separating the TI from the AC ( Fig. 1B ).

Weight, BMI, and %TWL The weight and BMI mean ± SD showed highly significant differences with time from preoperative value till 24 months postoperative by repeated measure ANOVA ( p < 0.001) with highly significant differences, and positive correlation within each pair of successive readings by paired t test till 24 months postoperative (71.5 ± 10.8 kg and 25.6 ± 3.4 kg/m 2 at 24 months respectively) (Tables 3 and 4 ).

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 ).

• Estrogenic and Anti-Estrogenic study shows the highly significant value show increase in the uterine weight (410.67 ± 09.09 a ) mg/100 g b.wt.) and uterine contents was observed in estrogen treated group (P < 0.001) ( Table 6 ).

The SARC_Cal_score was a consistent, highly significant positive predictor across all models (CatBoost: OR = 2.932 (2.096–4.305), p < 0.001; LightGBM: OR = 2.795 (1.899–4.51), p < 0.001; GBDT: OR = 4.475 (2.934–7.334), p < 0.001).

We computed a 3 × 2 repeated-measures ANOVA with factors ROUND(third-to-last, second-to-last, last) and AHA(aha, no aha) to compare mean FoW ratings, and found a highly significant main effect for ROUND [ F (2,52) = 132.27, p < 0.001, ε G-G =0.845, η p 2 =0.836, power G-G =1.0], no main effect of AHA [ F (1,26) = 1.05, p = 0.315, η p 2 = 0.039, power = 0.167], and a highly significant interaction [ F (2,52) = 15.63, p < 0.001, ε G-G =0.642, η p 2 =0.375, power G-G =0.988].

The differences were statistically significant for ciprofloxacin (P < 0.03) and highly significant (P < 0.001) for ampicillin, streptomycin, sulphonamide, tetracycline and trimethoprim.

However, there was a highly significant increase in the mean values of serum ALT, AST, GGT, total bilirubin, urea and creatinine in tramadol-treated group as compared to the negative control group ( p < 0.001).

Current results demonstrated highly significant ( P < 0.001) reduction of hepatic ADH enzyme level in CCl4 treated group than control ones, while its level was significantly ( P < 0.05) improved in GTE + CCl4 treated hamsters compared to CCl4 group.

However, the ADE of SHR on IMH remained highly significant (ADE: 0.0157, 95% CI: 0.0099-0.0198, P < 0.001).

Univariable analysis identified a highly significant association ( P < 0.001) between intensive leakage and poor quality of colostrum.

sativa revealed a highly significant coefficient of correlation (r = 0.996 at p<0.001) ( S1 Fig ).

The results of the study showed that the correlation between clot stiffness and CCTs was highly significant ( r = 0.91, 0.93, and 0.93; p < 0.001, respectively).

Treatment‐time interaction highly significant ( p < 0.001) (Figure 6 ). 3.3.4 Pain VAS scores decreased from 7.5 ± 1.2 to 2.5 ± 1.2 (Δ‐5.0) in HBO versus 7.3 ± 1.3 to 5.8 ± 1.4 (Δ‐1.5) in control, with significant treatment‐time interaction ( p < 0.001) (Figure 7 ). 3.3.5 Quality of Life Wound‐QoL scores improved from 58.3 ± 12.1 to 35.6 ± 10.3 at day 30 in HBO versus 57.8 ± 11.9 to 45.7 ± 11.5 in control ( p < 0.001).

The linear model obtained taking into account three spatial autocorrelation filters (that reduced the spatial autocorrelation in the residuals of the model according to Moran’s I) was highly significant: R 2 = 42.5%, F 4,95 = 17.55, p < 0.001.

Non-normality was suggested by histograms, Q-Q plots, and highly significant Kolmogorov–Smirnov tests [all D (89) > 0.21, all p < 0.001].

Exposure to pravastatin was associated with the highest odds ratio for readmission (OR = 13.10; 95% CI (2.82, 60.8); P = 0.017;) and chlorpromazine was highly significant with moderate odds ratio (OR = 4.53; 95% CI (2.66, 7.37; P < 0.001).

Here, a Student’s t -test revealed highly significant latency differences between conditions ( t (17)adj = -14.143, p < 0.001, d = -6.860).

This effect exhibited concentration dependence: within the range of 0.25–1 mg/mL, cell viability showed an increasing trend, with highly significant differences ( P ≤ 0.001) compared to the control.