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

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

BMC Res Notes

TNO Earth, Environmental and Life Sciences, PO Box 360, 3700 AJ Zeist, The Netherlands.

Published: May 2013

AI Article Synopsis

Article Abstract

Background: 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.

Findings: 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.

Conclusions: 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.

Trial Registration: NCT00959790.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682898PMC
http://dx.doi.org/10.1186/1756-0500-6-204DOI Listing

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