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Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests
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 f...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491977/ https://www.ncbi.nlm.nih.gov/pubmed/30537343 http://dx.doi.org/10.1002/hbm.24465 |
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author | Eklund, Anders Knutsson, Hans Nichols, Thomas E. |
author_facet | Eklund, Anders Knutsson, Hans Nichols, Thomas E. |
author_sort | Eklund, Anders |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6491977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64919772019-05-06 Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests Eklund, Anders Knutsson, Hans Nichols, Thomas E. Hum Brain Mapp Comment 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. John Wiley & Sons, Inc. 2018-12-07 /pmc/articles/PMC6491977/ /pubmed/30537343 http://dx.doi.org/10.1002/hbm.24465 Text en © 2018 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Comment Eklund, Anders Knutsson, Hans Nichols, Thomas E. Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests |
title | Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests |
title_full | Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests |
title_fullStr | Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests |
title_full_unstemmed | Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests |
title_short | Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests |
title_sort | reply to chen et al.: parametric methods for cluster inference perform worse for two‐sided t‐tests |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491977/ https://www.ncbi.nlm.nih.gov/pubmed/30537343 http://dx.doi.org/10.1002/hbm.24465 |
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