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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...

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Detalles Bibliográficos
Autores principales: Eklund, Anders, Knutsson, Hans, Nichols, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2018
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
Descripción
Sumario: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.