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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.
In this section, a multiple simultaneous hypothesis testing approach with a Bonferroni correction by Holms 101 was used to contrast a single performance measure strategy with the multiple performance measure strategy proposed here.
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.
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Nonnested hypothesis testing.
Statistical hypothesis testing.
C. Hypothesis Testing.
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.
Where the effects of the gene on the disease are not in opposing directions within the categories of the environmental exposure, evidence for a gene-disease effect will be quantified using a simultaneous (or "joint") hypothesis test [ 62] of the gene and gene-by-environment interaction effects.
They then test for jointness post hoc via hypothesis testing for the correlation parameter (rho) between the error terms of the simultaneous equations.
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