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Student's t-test was performed for significance testing (p < 0.05) of single proteins.
Since we applied multiple testing, p values are given after Bonferroni correction.
By hypothesis testing, P can be tested with a required figure of merit (i.e. the level of significance).
No difference in stiffness was found in the same angled constructs throughout the 20,000 cycles of testing (p > 0.05).
At all airflows tested there were significant differences between all 4 QCM positions, as determined by ANOVA testing (p = <0.05).
These associations remained significant after correction for multiple testing (p = 0.01).
Similar(20)
To account for multiple testing, p-values were corrected according to Hochberg's method.
In hypothesis testing, p-values of <0.05 were considered significant.
However, owing to multiple testing P-values between 0.01 and 0.05 are interpreted with caution.
Significance of IPA results was defined by Benjamini-Hochberg corrected for multiple testing p-value < 0.05.
To account for multiple testing, p-values were transformed to false discovery rate (FDR) [ 8].
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