“highly significant”

Analysis of fitted curves shows that this change in dose response is highly significant (EC50 wild-type 2.06 μWcm 2 ; Efemp1 R345W 0.016 μWcm 2 ; F -test P < 0.0001, F = 50.94).

3b ; p = 0.0006) and the poor prognostic impact of the high signature score was reproduced in the EC cohort with full L1000 gene expression data ( n = 392) (Table 3 , all clinico-pathological variables highly significant; Fig. 3c , p < 0.0001).

Fitting a generalized linear model with negative binomial errors to the data on number of thalli per individual from infected nests (fitted dispersion parameter θ = 4.39) showed a highly significant difference between nests in the level of infection (Wald χ 2 = 245.05, df = 1, p < 0.0001), and also a strong effect of estimated worker age (Wald χ 2 = 70.3, df = 4, p < 0.0001), with older workers having a higher load of thalli (Fig. 7 ), but no association with the presence or absence of P. alcon caterpillars (Wald χ 2 = 0.719, df = 1, p = 0.396).

Spectral Analysis of Heart Rate Variability The power spectral analysis revealed significant difference ( p = 0.045) for LF power and highly significant difference ( p < 0.0001) for both HF power and LF/HF power ratio.

Similarly, the mean number of days spent in hospital per patient per year was reduced from 9.8 to 1.3, which was highly significant ( t =5.678, d.f.=122, P <0.0001).

(I,M) Show OS and PFS curves stratified by WHO grade in the PSM cohort, both showing highly significant differences (p < 0.0001 for OS and PFS).

In the T2DM group, out of 54 samples that showed significant binding against MG-Fib, 17 samples were highly significant ( p < 0.0001), 13 samples were very significant ( p < 0.001), and 24 samples were significant ( p < 0.05).

The correlation between MSR and RCR was weak but highly significant (Spearman r=0.21, p<0.0001), indicating that papers with high scores for methodological standards were somewhat more likely to also score highly for regulatory standards.

These results showcased a decreased occurrence and were highly significant (p<0.0001) ( Figure 1 ).

These results prove notable differences in the size of the glomeruli, which are highly significant with p < 0.0001.

In addition, Bartlett’s test of sphericity was highly significant (p <0.0001), demonstrating sufficient intercorrelations among the variables.

A highly significant difference was observed among age groups ( χ2 = 18.99 , P < 0.0001 ).

The increase was statistically highly significant ( χ 2 analysis for trend age vs. hypertension: P < 0.0001 in both sexes).

Furthermore, there was a highly significant difference when comparing participants with co-occurring GDD/ID to those without GDD/ID (43.8% and 8.2% respectively, P < 0.0001).

Results In the exploratory phase, WFNS and age were shown to be highly significant predictors for the outcome (p < 0.0001 for both).

The output of this comparison shows the difference between the models to be highly significant ( Χ 2 (1) = 66.32, p < 0.0001), and the smaller AIC and BIC values and higher log likelihood of the full model also indicate the importance of mean word length as a predictor of the number of tonal contrasts ( Box 2 ).

Pairwise analysis of the LysoTracker levels for the 24 patient cell lines included in both studies showed a highly significant correlation with previous measurements (Spearman r = 0.76, p < 0.0001, Fig. 1 ), demonstrating the reproducibility of LysoTracker staining in cultured primary fibroblasts from individuals with NPC1.

Second Study Rooting success was associated with a highly significant interaction between rooting environment and hormone treatment (F 8,15 = 137.93; p < 0.0001), with the model explaining 99.3% of the observed variance (R 2 = 0.99).

The model is highly significant to predict the therapeutic response (R 2 = 0.7789, P < 0.0001).

The observed alterations regarding the differences in circumference were highly significant, showing an increase of 77% for actin and 75% for cofilin ( p < 0.0001).

The statistical analysis revealed a highly significant difference between the IC 50 of acarbose, used as a positive control, and the IC 50 of EHA ( p < 0,0001) and EA and EE ( p < 0.01). 3.3.2.

The reduction of HRV parameters (SDRR, RMSSD, Total Power, SD1 and SD2) in the group of patients with depression is found to be highly significant ( P < 0.0001).

This result was highly significant ( p < 0.0001 using Fisher’s exact test), indicating that stability of the chemicals was a considerable contributor to our ability to determine their CCS value.

Statistical modelling of FICI values The results of the Wald χ 2 tests from the fitted linear mixed-effects model evaluating FICI values indicated that antibacterial combination had a strong and highly significant main effect on FICI values ( p < 0.0001), as did compound ratio ( p < 0.0001), indicating that both the identity of the combination and the dosage ratio influenced the degree of synergism.

The diminution seen was highly significant ( p < 0.0001) as determined by paired Wilcoxon signed-rank sum test.