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W. Weeda

3 papers hereh-index 192.2k citations58 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedPermutation-based true discovery proportions for functional Magnetic Resonance Imaging cluster analysis

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2022

Cluster extent inference revisited: quantification and localization of brain activity

Jelle J. Goeman, Paweł Górecki, Ramin Monajemi +3

Cluster inference based on spatial extent thresholding is the most popular analysis method for finding activated brain areas in neuroimaging. However, the method has several well-k…

stat.ME2022

Adaptive Cluster Thresholding with Spatial Activation Guarantees Using All-resolutions Inference

Xu Chen, Jelle J. Goeman, Thijmen J. P. Krebs +2

Classical cluster inference is hampered by the spatial specificity paradox. Given the null-hypothesis of no active voxels, the alternative hypothesis states that there is at least…

stat.AP2020★ 1 cited

Permutation-based true discovery proportions for functional Magnetic Resonance Imaging cluster analysis

Angela Andreella, Jesse Hemerik, Wouter Weeda +2

We propose a permutation-based method for testing a large collection of hypotheses simultaneously. Our method provides lower bounds for the number of true discoveries in any select…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.