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Controlling false discovery rates in factorial experiments with between-subjects and within-subjects tests.


ABSTRACT: The False Discovery Rate (FDR) controls the expected number of false positives among the positive test results. It is not straightforward how to conduct a FDR controlling procedure in experiments with a factorial structure, while at the same time there are between-subjects and within-subjects factors. This is because there are P-values for different tests in one and the same response along with P-values for the same test and different responses.We propose a procedure resulting in a single P-value per response, calculated over the tests of all the factorial effects. FDR control can then be based on the set of single P-values.The proposed procedure is very easy to apply and is recommended for all designs with factors applied at different levels of the randomization, such as cross-over designs with added between-subjects factors.NCT00959790.

SUBMITTER: Schoen ED 

PROVIDER: S-EPMC3682898 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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Controlling false discovery rates in factorial experiments with between-subjects and within-subjects tests.

Schoen Eric D ED   Rubingh Carina M CM   Wopereis Suzan S   van Erk Marjan M  

BMC research notes 20130521


<h4>Background</h4>The False Discovery Rate (FDR) controls the expected number of false positives among the positive test results. It is not straightforward how to conduct a FDR controlling procedure in experiments with a factorial structure, while at the same time there are between-subjects and within-subjects factors. This is because there are P-values for different tests in one and the same response along with P-values for the same test and different responses.<h4>Findings</h4>We propose a pr  ...[more]

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