Between admission and discharge there was highly significant increase in all parameters of functional independence (FIM+FAM; p<0.001), with corresponding reduction in all parameters of dependency (NPDS/NPCNA; p<0.001).
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The difference in ADC between carcinoma in situ and benign tumor before and after comparison was significant (P=0.009, P=0.03), whereas the difference in ADC between benign tumor and invasive carcinoma was highly significant (P<0.001).
A standard threshold of 5 CTC/7.5 ml blood as a cut-off point between risk groups led to a highly significant prognostic marker (p < 0.001).
The result of this test was, as expected, exceedingly significant ( p < 0.001).
The average of anxiety was 3.81 (SD = 4.99) across all three waves, with a decreasing trend from 4.21 (SD = 5.19) in the first wave, to 3.81 (SD = 4.9) in the second wave, to 3.39 (SD = 4.87) in the third wave (p < 0.001).
This prevalence of bilateral and unilateral impactions among study population was statistically highly significant ( χ 2 = 216.89, p < 0.001 HS).
HTN were highly significant (p<0.001) with large effect sizes (phi-coefficients=0.53-0.69).
Results: Implementing the Receiver Operating Characteristic (ROC) test on the data for MDCT-measured leaflet billowing received from MDCT angiography suggests that the area under the ROC curve is 96% for a declared variable, which is absolutely significant ( P < 0.001), and MDCT-measured leaflet billowing is an appropriate index for the diagnosis of mitral valve prolapse.
The average reduction was 59%, which was highly significant ( P < 0.001).
A highly significant fraction (74%) of all downregulated genes were direct targets of TDP-43 in comparison to genes that were unchanged (52%, p <0.001) or upregulated (18%, p <1×10 −17 ) upon TDP-43 depletion.
Log-rank testing confirmed that the differences across groups were highly significant ( P < 0.001).
R2 coefficients (relationships between Match and Replication) were highly significant for each of the technical variables considered (p < 0.001).
In addition to the previous model, we added ICV as effect which had a highly significant contribution (t(639) = 65.4, p < 0.001) and explained 61.9 % of the variance.
Highly significant differences were detected in all three parameters of the eggs: the width, length, and volume (F (1:682) > 22.200, p < 0.001).
The univariate analysis revealed that the HLA-A*01 allele was associated to the low PDA group with a very highly significant p = 0.001 ( Table 1 ), respectively, significant for A*30 ( p = 0.048).
Akaike information criterion (AIC) values of segmented regression models for all three factors were significantly lower than those of linear models, and likelihood ratio tests were highly significant ( Supplementary Table 5 , P < 0.001).
Figure 1 demonstrates the statistically highly significant difference ( p < 0.001) between both species in TPC, as revealed by an independent sample t -test. 3.2.
The difference between the two groups was highly significant (Mann-Whitney test, Z adj = 4.61, p < 0.001), thus showing that the silicon cover prevents olfactory detection and therefore learning.
Even if this case was excluded, there would still be a highly significant difference ( p < 0.001, z = − 4.239) between the fully automatic (median DSC 0.60) and the semi-automatic (median DSC 0.79) approach.
This difference is highly significant (paired-sample t -test comparing log-thresholds for vertical corrugations versus horizontal corrugations, t [150] = 11.77, P < 0.001, or versus stereoacuity, t [148] = 10.87, P < 0.001, including only thresholds <1000 arcsec).
By ethnicity, an extremely significant association between IL-10 −1082G allele and HEACs in Asians was observed under allelic (OR=2.009; 95% CI: 1.566–2.578; P <0.001), homozygous genotypic (OR=2.832; 95% CI: 1.831–4.379; P <0.001), and dominant (OR=2.101; 95% CI: 1.694–2.607; P <0.001) models ( Figure 2A and B ).
There were modest but highly significant correlations between the degree of SEC (scale, 0–4) and both the CHA 2 DS 2 -VASc score (Spearman r = 0.29, P < 0.001) and BNP (Spearman r = 0.32, P < 0.001).
We also performed a logistic regression on the first squeeze of each sequence for each individual monkey, and both effects were also significant at the subject level except for the reward size effect on monkey D which was only marginally significant (monkey A: β (sequence length) = − 0.82 ± 0.05, t (2740) = −15.83, p < 0.001, β (reward size) = 0.89 ± 0.05, t (2740) = 13.09, p < 0.001; monkey D: β (sequence length) = − 0.12 ± 0.05, t (1553) = − 2.41, p = 0.02, β (reward size) = − 0.09 ± 0.05, t (1553) = − 1.83, p = 0.07; monkey E: β (sequence length) = − 1.21 ± 0.10, t (1491) = − 11.78, p < 0.001, β (reward size) = 0.83 ± 0.07, t (1491) = 12.66, p < 0.001).
Main effects of time and n corr(pre) were highly significant in all cases ( p < 0.001), showing that subjects improved their performance over the course of the training and that pre-training performance was a predictor for further performance gains, with higher pre-training performance correlating with increased performance gains during the subsequent training period.
Assessment of serum sIL2R level using ELISA As regards the serum levels of sIL2R there was a highly significant statistical difference between HPV infected patients and control groups (p value < 0.001) (Table 3 ; Fig. 1 ).