New methods for multiple testing in permutation inference for the general linear model-Reference-Cited by-同舟云学术

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New methods for multiple testing in permutation inference for the general linear model

Published:2021-10-23 Issue:2 Volume:41 Page:276-297
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Mrkvička Tomáš¹^ORCID,Myllymäki Mari²^ORCID,Kuronen Mikko²^ORCID,Narisetty Naveen Naidu³^ORCID

Affiliation:

1. Department of Applied Mathematics and Informatics University of South Bohemia České Budějovice Czech Republic

2. Natural Resources Institute Finland (Luke) Helsinki Finland

3. Department of Statistics University of Illinois, Urbana‐Champaign Champaign Illinois USA

Funder

Academy of Finland

Grantová Agentura České Republiky

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9236

Reference22 articles.

1. Permutation inference for the general linear model

2. Nonparametric permutation tests for functional neuroimaging: A primer with examples

3. A depth‐based global envelope test for comparing two groups of functions with applications to biomedical data

4. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

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