A comparison of random-field-theory and false-discovery-rate inference results in the analysis of registered one-dimensional biomechanical datasets

Background The inflation of falsely rejected hypotheses associated with multiple hypothesis testing is seen as a threat to the knowledge base in the scientific literature. One of the most recently developed statistical constructs to deal with this problem is the false discovery rate (FDR), which aim...

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Bibliographic Details
Main Authors: Hanaa Naouma, Todd C. Pataky
Format: Article
Language:English
Published: PeerJ Inc. 2019-12-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/8189.pdf