Barely Significant

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approaching significancep < 0.12.0× alphagold
Bacterial associations at baseline A total of 18 paired species associations were marked as being found in co-occurrence at a rate different from expected by random chance (Spearman ranked correlations, p < 0.05) whereas an additional 12 species were approaching significance (Spearman ranked correlations, p < 0.1; Fig. 4 and Table 1 ).
marginally significantP < 0.12.0× alphagold
However, the influence of soil cultivation method on community composition of bacteria was marginally significant (significant at P < 0.1), and using the “forward selection of environmental variables” tool in Canoco 5.0 software, a significant influence of ploughing was confirmed (explaining 10.3% of the total data variability, pseudo-F = 2.3, P = 0.004).
marginally significantP < 0.102.0× alphagold
Multivariate logistic regression analysis was performed to assess the risks of mortality and poor outcomes during hospitalization, adjusting for clinical variables identified by univariate analysis as showing significant or marginally significant (0.05 ≤ P < 0.10) differences between the presence or absence of each outcome.
quasi-significantp < 0.102.0× alphagold
Pathways analyses Separate path analyses (for men and women) were obtained through the next procedure: (a) firstly a complete path-diagram structure with all the variables considered in the correlational analysis (Table 2 ) was tested; (b) next, all non-significant coefficients were deleted to achieve a more parsimonious model; (c) fitting indexes for the finalistic model containing only significant coefficients ( p < 0.05) or quasi-significant coefficients ( p < 0.10) were obtained; and (d) the final model coincided with the finalistic model in the case of adequate goodness-of-fit, while a reviewed model was tested in the case of non adequate fitting.