“highly significant”

LDL-C reductions within each treatment, either as absolute values or expressed as ratio of the initial value, were highly significant ( p < 0.0001).

As depicted in Figure 3D , the samples showed a highly significant positive correlation between MYB and SKI expression (Pearson's correlation: R = 0.85; P < 0.0001).

In contrast, a highly significant difference ( p <0.0001) was detected in the frequency of mspA phase ON (tract length of 6, 9 or 12Cs) strains in the carriage versus invasive collections ( Table 6 ), with mspA being significantly more often ON in invasive isolates compared to carriage isolates (69.2% compared to 50.0%).

Post-op:30.66) showed highly significant improvement (p<0.0001).

Due to the large number of data sets in each population, both correlations were highly significant (p<0.0001), though data points are not fully independent.

Statistical significance (P < 0.05) was achieved for 222 spots being differentially expressed in inflamed versus non-inflamed mucosa, and of these 39 spots were highly significant (P < 0.0001).

A significant increase of several amino acids including phenylalanine (Phe, p < 0.01), tryptophan (Trp, p < 0.001), and tyrosine (Tyr, p < 0.0001), as well as isoleucine (Ile, p < 0.05), glutamate (Glu, p < 0.05), glutamine (Gln, p < 0.05), and glycine (Gly, p < 0.05) was observed, whereas a highly significant ( p < 0.0001) decrease in cysteine (Cys) was measured.

We also found the level of closest designated trauma hospital was a highly significant predictor of bypass (p<0.0001) with patients less likely to be taken to the closest hospital if it was classified as regional (OR: 0.16) and rural regional (OR 0.09) compared to hospitals classified as major trauma.

The F -values were highly significant at p < 0.0001 for all response variables, and the p -values were a coefficient significance check, together with the operating factor's power.

The main effect of the time point was highly significant ( F 5,117 = 58.05, P < .0001).

A strong positive correlation (0.9275) was observed between PPD and MCC, which was highly significant (P< 0.0001).

The study revealed a highly significant reduction in the rate of major cardiovascular events with descending levels of LDL-cholesterol ( p < 0.0001) with a decrease of 22 percent in combined cardiovascular end point (including coronary artery disease, nonfatal MI, and resuscitated cardiac arrest and a reduction of 20 percent in cardiac deaths with lower LDL levels) [ 24 ].

Model adequacy was confirmed through stable convergence of the estimation procedure and a highly significant Wald chi‐square test ( p < 0.0001), indicating the contribution of covariates to explaining the hazard of complications.

The linear regressions on age were all very highly significant ( P < 0.0001), accounting for a minimum of 61% of the variance.

However, the difference in FF was statistically highly significant ( p <0.0001) even on multivariate analysis adjusted for BMI and PAPP-A levels, indicating that ART was almost certainly an independent predictor of low FF.

Analysis revealed a highly significant main effect of Time, F (2.79, 78.21) = 35.34, p < 0.0001, η 2 p = 0.56, 95% CI [0.50, 0.60], demonstrating that repeated stimulation produced consistent modifications in reflex amplitude throughout the protocol.

A highly significant inter‐patient variation in annual progression rate was detected (variance of β r 0.893; p < 0.0001).

"STR completion rate" was a highly significant factor in both SNP rate models (p < 0.0001), and "STR concordance rate" and "GQ score" were significant factors in the SNP concordance rate model (p = 0.0008 and 0.045, respectively).

Mixed model analysis of core temperature data averaged over the first 90 min of administration indicated highly significant effects of session and the concentration by session interaction (p<0.0001), but the main effect of concentration was non-significant (p = 0.20), consistent with the core temperature sign-reversals from hypothermia to hyperthermia in the three highest concentration groups (particularly evident in Fig 2 ).

A quadratic model fitted separately for AVIDIN+ chicks was more informative than the simple linear model (Δ D.F.=1, χ 2 =6.915, P =0.009) and provided highly significant results compared to the null model (Δ D.F.=1, χ 2 =25.816, P <0.0001).

The results revealed that in group I (HILT group), there was highly significant decrease in both wound size and appearance (p<0.0001).

Smoking women having either CC or GG genotypes showed a highly significant association with increased risk of breast cancer [odds ratio (OR) = 1.607, 95% confidence interval (CI) 0.91–1.64, p = 0.0001, and OR, 1.841, 95% CI, 0.88–1.67, p = 0.0001, respectively].

There is a highly significant difference between obese women and control women in terms of body fat percentage (42.3±0.9% and 32.0±1.9%, respectively, p<0.0001).

However, there was a 0.1‐mg/dL increase in creatinine between the screening visit and day −1 to 1.2 mg/dL (1.0–1.6 mg/dL) in the CR group, and this incremental change was highly significant ( P =0.0001) compared with the control group, in which serum creatinine was not altered (1.1 mg/dL [0.9–1.3 mg/dL]).

The mean differences for all parameters were highly significant ( P < 0.0001) at each interval.