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“highly significant”

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p=0.09

Listed by Hankins (2013)

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highly significantp = 0.0040.1× alphaqualifiedgold
Pairwise comparisons show that the difference between onlookers and participants is highly significant in the train scenario, χ 2 (1, 400) = 8.51, p = 0.004, φ c = 0.146, and the large game show scenario, χ 2 (1, 419) = 6.33, p = 0.012, φ c = 0.123, but narrowly failed to reach conventional levels of significance in the small game show scenario: χ 2 (1, 365) = 3.38, p = 0.066, φ c = 0.096.
highly significantP = 0.0040.1× alphaqualifiedgold
To determine whether the accumulation of platinum was related to hydrophobicity, log P was correlated with platinum concentration- time products in neurological tissues, blood and plasma (Figure 3). Highly significant inverse correlations were found between log P and platinum concentration-time products in DRG (r2 = 0.99; P = 0.004), sural nerve (r2 = 0.85; P = 0.025), sciatic nerve (r2 = 0.98; P = 0.0012), brain (r2 = 0.98, P = 0.0011) and spinal cord (r2 = 0.97; P = 0.0018).
highly significantp = 0.0040.1× alphaqualifiedgold
The data exhibited a highly significant negative direct effect of the DT intervention on IC (β = −0.373, p = 0.004, 95% CI [−0.618, −0.119]), alongside a significant positive indirect effect via AC (β = 0.083, p = 0.048, 95% CI [0.019, 0.188]).
highly significantp = 0.0040.1× alphaqualifiedgold
Tb.N, a trabecular bone morphometry parameter with the highest value, was highly significant (OR = 19,062.087, 95% CI: 22.233–16,343,266.88, p = 0.004), indicating a detrimental micro-architectural shift attributable to significant trabecular thinning despite no significant change in BV/TV.
highly significantp = 0.0040.1× alphaqualifiedgold
Although the correlation between the maximum increases of CRP and IL-6 after LPS stimulation was highly significant (r = 0.81, p = 0.004), the correlation between the maximum increase in kynurenine/tryptophan and the maximum increase in IL-6 was not significant (r = 0.61, p = 0.06).
highly significantp = .0040.1× alphaqualifiedgold
The backward stepwise multivariate logistic regression model was further performed to investigate the risk factors of treatment outcomes ( Table 3 ), and the results demonstrated that Staphylococcus aureus [Standard β value, 3.073; adjusted OR (aOR), 21.614; 95%CI, 2.829–165.144; p = .003) was a highly significant risk factor for treatment failure, followed by NLR (Standard β value, 0.319; aOR, 1.376; 95%CI, 1.105–1.713; p = .004), age (Standard β value, 0.042; aOR, 1.043; 95%CI, 1.007–1.079; p = .018), PD vintage (Standard β value, 0.021; aOR, 1.021; 95%CI, 1.003–1.040; p = .025) and PLR (Standard β value, 0.010; aOR, 1.010; 95%CI, 1.004–1.017; p = .002).
highly significantp = .00400.1× alphaqualifiedgold
For treatment with statins alone (177 matched sets) and ACEIs/ARBs alone (90 matched sets), the adjusted ORs were 0.56 (95% CI 0.39–0.93, p = .024, SMD = 0.08) and 0.52 (95% CI 0.23–1.17, p = .11, SMD = 0.006), respectively ( Table 3 ). Using Gray’s test, the CIF, which accounted for the difference in mortality between the statins + ACEIs/ARBs vs no statins and no ACEIs/ARBs, was highly significant; p = .0040 ( Figure 2(c )).
highly significantP = 0.00400.1× alphaqualifiedgold
Although the abundance of Clostridium was not significantly correlated with the TUDCA or NorDCA concentration ( R = −0.3141, P = 0.3734 and R = 0.3482, P = 0.3194, respectively), a highly significant negative correlation was found between the abundance of Clostridium and the primary bile acid CDCA ( R = −0.8398, P = 0.0040) (Fig. 4c ).