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