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Data were analysed by linear correlation test, and a Bland Altman test was done to verify the degree of agreement between values from different samples.
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The relationship between the continuous variables was examined by the Pearson linear correlation test.
Correlations between FRC, static compliance, and PaO2 were evaluated by a Pearson's linear correlation test (Statistica).
ISL was correlated using a linear correlation test with PSL.
The correlation between cyclin A, Ki67 and SPF were evaluated by Spearman's rank correlation test and the linear correlation test.
Relations between parameters were analyzed using a linear correlation test.
Linear correlation test revealed negative correlation was observed between the Bacteroidetes and Fibrobacters phyla.
The null hypothesis of the linear correlation testing is: there is no linear correlation between two variables.
Data from our participants indicate that age, sex, weight, height or corporal mass have no statistically significant effect on the aerosol composition in terms of size and number of droplets, as confirmed by linear correlation assessment (Table 2) and ANOVA tests (Table 5).
This could not be explained by the length of the perfect match, the position of the first mismatch relative the 5′ end of the probe or by change in the GC content caused by the mismatches (tested by linear correlations, p > 0.05).
Data were analyzed by standard statistical methods, including linear regression correlation test, ANOVA, the t-test and χ2 test using SPSS (version 14.0).
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