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Since the latter was significant, the comparison between the four methods was done per each antibiotic and corrected for simultaneous hypothesis testing according to Sidak (1967).
Also, the comparison between the different milk types was evaluated and P-values were corrected for simultaneous hypothesis testing, according to Tukey.
The purpose of the MaxT algorithm is to provide a significance test algorithm that controls the family-wise error rate (FWER) during simultaneous hypothesis testing.
Simultaneous analysis of all observed variables: multivariate data analysis, principal component analysis, correlations analysis, factorial analysis and clustering Multivariate comparisons of the different variables: hypothesis testing, multiple ways ANOVA, MANOVA, and others to determinate if the groups differ relative to the different questions: specific GMO effect or diet effect per se.
This question arises because of the increased risk of Type I errors (findings of false "significance") when multiple simultaneous hypotheses are tested at set p-values.
In baseline characteristics analysis, P-values were adjusted by Bonferroni procedure in order to control the familywise Type I error-rate because thirteen simultaneous hypotheses were tested.
Also, hypothesis testing was conducted using Structural Equation Modeling (SEM).
Hypothesis testing was performed using IBM SPSS Statistics V.20.
Briefly, NBS is a non-parametric method for network-wide hypothesis testing.
They then test for jointness post hoc via hypothesis testing for the correlation parameter (rho) between the error terms of the simultaneous equations.
Nonnested hypothesis testing.
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