Excerpts

This difference between the inter- and intra-session reproducibility was highly significant ( P < 0.0001; Friedman's test), indicating between-day component of variation.

The LF:HF ratio showed a trend toward increase in bright light compared with dim light (Interaction, p < 0.0001; Light, p = 0.056), with a significant difference in the fifth hour after lights-on ( p = 0.017) ( Fig. 3H ).

The correlation between the LS-PCR results and the clinical origin (organ of isolation) of the strains was highly significant (Pearson, p < 0.0001), indicating that this PCR is a good predictor of the putative virulence of the strains.

The correlation between both subsamples was highly significant ( r = 0.85, P < 0.0001), which indicates that storage in ethanol gives reliable results.

Non-musicians showed highly significant correlations at the group level for all pulse clarity-driven ICs ( p < 0.0001) except for IC 50 ( p = 0.06), whereas musicians exhibited significant correlations only for the four highest model orders [IC 70 ( p < 0.05), IC 80 ( p < 0.01), IC 90 ( p < 0.001), and IC 100 ( p < 0.005); see Figure 6B ].

A similar highly significant change was observed when comparing weights at baseline and 6 months in the Emirati population (85.7 ± 17.8 kg vs. 84 ± 17.2 kg, P = 0.0001).

The models highlighted below were all highly significant ( p < 0.0001).

A highly significant correlation between IGF-1 and IGFBP-3 on a molar basis ( r = 0.84; P < 0.0001) has been revealed.

This result was found to be highly significant [ F ( 1 , 29 ) = 40 . 442 , p < 0 . 0001 , η 2 = 0 . 5824 ].

For all outlet types, deprivation is a highly significant ( p < 0.0001) predictor of both baseline outlet density and of changes in density over time.

Mean CD3 + T cell as well as CD4 + T cell counts were low in group 1 (426 ± 168 × 10 6 /L; 373 ± 142 × 10 6 /L) and normal in group 2 (1176 ± 339 × 10 6 /L, 884 ± 248 × 10 6 /L) with a difference that was highly significant ( p < 0.0001).

The results indicate that comparisons evidenced highly significant correlations between values computed by the lumped model and simulated mechanical model for both networks with p < 0.0001.

The difference between the groups for all parameters was statistically highly significant (P<.0001, for all parameters).

For the SIADH/cancer subgroup, subjects on tolvaptan exhibited a highly significant improvement in this parameter ( P < 0.0001) relative to placebo to day 4 (5.0 vs. −0.3 mEq/mL) and to day 30 (6.9 vs. 1.0 mEq/L) (Fig. 2 ).

The overall and highly significant (p = 0.0001) genetic differentiation index (Φ st ) was 0.212.

The interspecific comparison revealed highly significant differences in both male and female body weights (see Fig. 2 ) and in M m /M f ratios ( ANOVA , F (9,50) = 8.21, P < 0.0001 ).

The treatment of SKBR3 cells with rising concentrations of IKK-16 resulted in a highly significant decrease in cell viability (5 μM p < 0.0001; 50 μM p < 0.0001).

A statistically highly significant correlation was found between changes in 99m Tc-Annexin V tumor uptake and clinical response (r 2 = 0.62; P < 0.0001).

When animals that received nerve injury or pharmacological block were pooled together (one-way ANOVA; F(3,60) = 7.3, p = 0.0003) the increased responsiveness reached significance already in the first protocol after deafferentation (Dunnett test; p = 0.0289), transiently lost significance in the second protocol (p = 0.12) and was again highly significant in the third protocol (p<0.0001).

According to the regression models, as in Table 5 , age (OR = 1.12, p = 0.046), creatinine levels (OR = 2.66, p = 0.003), and vitamin B12 levels (OR = 1.004, p < 0.0001) were positively independently associated with death probability, while BADL showed a trend without reaching statistical significance (Harrell’s C-index: 0.828, p < 0.0001).

This analysis showed an increasing trend for TPs using the filgrastim biosimilar (from 34.4% in July 2015 to 49.8% in June 2016; p < 0.0001) compared with a decreasing trend for TPs using lenograstim (from 22.6% in July 2015 to 12.3% in June 2016; p < 0.0001) and pegfilgrastim (from 26.8% in July 2015 to 20.6% in June 2016; p < 0.0001).

However there was highly significant difference between different age groups in VI [p<0.0001, χ 2 (df) = 162.6(18)].

Moreover, a drastic fall was observed in case of IgG4, where the difference became significant as early as on day 30 ( P = 0.0027) and was highly significant on day 365 ( P < 0.0001).

These differences were highly significant ( p < 0.0001).

A highly significant difference was observed among batches ( p < 0.0001).