Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests. Issue 5 (7th December 2018)

• Record Type: Journal Article
• Authors: Eklund, Anders; Knutsson, Hans; Nichols, Thomas E.
• Is Part Of: Human brain mapping. Volume 40:Issue 5(2019)
• Page Start: 1689
• Page End: 1691
• Publication Date: 2018-12-07
• Subjects: cluster inference -- false positives -- fMRI -- one‐sided -- permutation -- two‐sided; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.24465
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: One‐sided t ‐tests are commonly used in the neuroimaging field, but two‐sided tests should be the default unless a researcher has a strong reason for using a one‐sided test. Here we extend our previous work on cluster false positive rates, which used one‐sided tests, to two‐sided tests. Briefly, we found that parametric methods perform worse for two‐sided t ‐tests, and that nonparametric methods perform equally well for one‐sided and two‐sided tests.