Title
Controlling false discovery rates in factorial experiments with between-subjects and within-subjects testsControlling false discovery rates in factorial experiments with between-subjects and within-subjects tests
Author
Faculty/Department
Faculty of Applied Economics
Research group
Engineering Management
Publication type
article
Publication
Subject
Economics
Source (journal)
BMC research notes
Volume/pages
6(2013), p. 204-208
ISSN
1756-0500
vabb
c:vabb:372190
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
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.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/a67e65/9afc955b.pdf
Handle