Journal article
Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 276.6KB, Terms of use)
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- Publisher copy:
- 10.1002/hbm.24465
Authors
+ National Institutes of Health
More from this funder
- Funding agency for:
- Nichols, T
- Grant:
- R01 EB015611
- Publisher:
- Wiley
- Journal:
- Human Brain Mapping More from this journal
- Volume:
- 40
- Issue:
- 5
- Pages:
- 1689-1691
- Publication date:
- 2018-12-07
- Acceptance date:
- 2018-10-30
- DOI:
- EISSN:
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1097-0193
- ISSN:
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1065-9471
- Keywords:
- Pubs id:
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pubs:935831
- UUID:
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uuid:bf9dd221-dab8-41e1-88e7-103be07d0424
- Local pid:
-
pubs:935831
- Deposit date:
-
2018-10-30
Terms of use
- Copyright holder:
- Eklund et al
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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