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Reply to Chen et al.: Parametric methods for cluster inference perform worse for two‐sided t‐tests
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9091-4724
Big Data Institute, University of Oxford, Oxford, United Kingdom, Department of Statistics, University of Warwick, Coventry, United KingdomWellcome Trust Centre for Integrative Neuroimaging (WIN-FMRIB), University of Oxford, Oxford, United Kingdom.
2019 (English)In: Human Brain Mapping, ISSN 1065-9471, E-ISSN 1097-0193, Vol. 40, no 5, p. 1689-1691Article in journal (Other (popular science, discussion, etc.)) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2019. Vol. 40, no 5, p. 1689-1691
Keywords [en]
cluster inference, false positives, fMRI, one‐sided, permutation, two‐sided
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-153286DOI: 10.1002/hbm.24465ISI: 000460680400025OAI: oai:DiVA.org:liu-153286DiVA, id: diva2:1269320
Note

Funding agencies: NIH [R01 EB015611]; Wellcome Trust [100309/Z/12/Z]; Knut och Alice Wallenbergs Stiftelse; Linkoping University; Swedish Research Council [2017-04889, 2013-5229]; "la Caixa" Foundation; Vetenskapsradet

Available from: 2018-12-10 Created: 2018-12-10 Last updated: 2019-04-01

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Eklund, AndersKnutsson, Hans

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