Excerpts

The two-way interaction of the condition and the surface was also highly significant ( p -value < 0.0001), indicating that polishing increased the microhardness values at the top and the bottom surface.

These improvements were further supported by statistical comparison using DeLong’s test, which confirmed that the observed differences in AUC were highly significant (all p values < 0.0001).

A PERMANOVA on unweighted UniFrac distances for replicate samples stored in RNAlater revealed that individual horse was highly significant (F 29,65 = 2.55, r 2 = 0.67, p < 0.0001) and day of sampling less so when controlling for individual horse (F 6,65 = 2.55, r 2 = 0.06, p = 0.0334).

Comparative evaluation was done between Group I and Group II, Group I and control group, and Group II and control group, all showed highly significant difference ( P < 0.0001) [Tables 1 – 3 ].

Especially highly significant differences were found in the mixed model between HRV and the follow-up WHO-FC (p<0.0001), NT-proBNP level (p<0.0001) and 6MWT result (p<0.0001) ( table 3 and figure 1 ).

It can be seen from Table A3 that the quadratic polynomial fit model is extremely significant ( P < 0.0001).

However, in the replacement study designed to mimic the “real world” uncontrolled clinical practice setting, there was a highly significant (p < 0.0001) IOP effect when switching from the concomitant use of the individual components to the FCDT, as 81.1% patients had an IOP equal to or less than the starting IOP.

Statistical analysis using an unpaired t test with Welch’s correction showed a highly significant difference between groups ( p < 0.0001).

Indeed, we found a highly significant correlation between latency and rise time ( n = 42, R 2 = 0.43; p < 0.0001) and rise and decay time ( n = 42, R 2 = 0.21; p = 0.002).

Comparable stomata frequencies were confirmed in the glucose and fructose treatments ( Figure 2B ), and there were highly significant differences with sugar-free conditions ( p -value <0.0001, Mann–Whitney's U-test).

cerevisiae ARSs and this degree of overlap is highly significant ( P -value < 0.0001, permutation test, see Methods) (Supplemental Data set S5).

The model, as well as the parameters in the model, were extremely significant (P < 0.0001).

The quadratic model was highly significant, with a very high model F -value (69.42) and a very low p -value ( p < 0.0001).

Among crop managers, highly significant improvements (all paired t-tests p < 0.0001) were found in the use of PPE (mean ± SD score of 3.9 ± 1.9 to 4.4 ± 1.8), reduced wetting of the body (5.2 ± 2.3 to 3.9 ± 2.3) and washing face and hands (8.1 ± 1.9 to 9 ± 3.3).

A 2-way ANOVA with the factors feature cue (valid, invalid) and object cue (valid, invalid) revealed highly significant effects of both factors (feature cue: F (1,7) = 34.3, p < 0.0001; object cue: ( F (1,7) = 47.8, p < 0.0001), and no interaction ( F (1,7) = 0.121, p = 0.73; Figure 3C , left).

The result was reported as highly significant with p < 0.0001 (statistical method not specified [ 33 ]).

The difference between Control and Supplemented group was overall highly significant (effect of supplement, P < 0.0001), with a significant interaction with time (P < 0.0001) as the effects were mostly measured from d42 and even stronger at d49 and d56 (mean concentration were for Control and Supplemented group respectively, of 2.9 ± 0.2, vs 7.0 ± 0.4 Log 10 copies of 16S rDNA/g of rumen content at d49 and of 2.6 ± 0.3 vs 7.7 ± 0.3 Log 10 copies of 16S rDNA/g of rumen content at d56).

(i) Inter-group diversity and faultline dynamics Contrary to the potential for fragmentation, inter-group diversity remains robust across the faultline variations, with statistical tests yielding highly significant results (two faultlines: t -statistic = 201.464, p ‐value = 0.0001).

During the baseline, ETD was already lower in Brasília Teimosa (emmean 9.16 ETD, 95% CI 8.03–10.28) than in Pina (12.2 ETD, 95% CI 10.8–13.7), with a highly significant difference (GLMM, estimate = −0.29, SE = 0.015, P < 0.0001).

Comparison across CAD categories using the Kruskal–Wallis test demonstrated a highly significant difference in daily effort scores (H = 85.82, p < 0.0001).

After applying FDR correction, the correlation between the probability of occurrence of the different PL states and OP revealed a highly significant positive correlation between PL state 3 and OP (r = 0.8632, p < 0.0001), which supports this hypothesis.

There was an overall weak, albeit highly significant, correlation between the sCD26 concentration and the DPPIV activity ( r s = 0.35, P = 0.0001, n = 150).

Univariate analysis revealed local recurrence, and development of metastases as highly significant predictors of tumor-related death ( p < 0.0001).

Linear contrast tests were all highly significant ( p < 0.0001 ) for all of the MUF values, suggesting a linear increase over time.

In the full factorial model, the effect of exposure time on glucose levels was highly significant ( p < 0.0001), but no other effects were statistically significant.