Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests
Applications
2019-01-03 v1
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 non-parametric methods perform equally well for one-sided and two-sided tests.
Cite
@article{arxiv.1810.02669,
title = {Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests},
author = {Anders Eklund and Hans Knutsson and Thomas E. Nichols},
journal= {arXiv preprint arXiv:1810.02669},
year = {2019}
}