Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM
Permutation testing is a non-parametric method for obtaining the max null distribution used to compute corrected p-values that provide strong control of false positives. In neuroimaging, however, the computational burden of running such an algorithm can be significant. We find that by viewing the pe...
Main Authors: | Gutierrez-Barragan, F, Ithapu, V, Hinrichs, C, Maumet, C, Johnson, S, Nichols, T, Singh, V, Alzheimer's Disease Neuroimaging Initiative |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
Elsevier
2017
|
Registos relacionados
-
Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression
Por: Palma, M, et al.
Publicado em: (2020) -
Random forest prediction of Alzheimer's disease using pairwise selection from time series data
Por: Moore, P, et al.
Publicado em: (2019) -
Voxel-wise and spatial modelling of binary lesion masks: comparison of methods with a realistic simulation framework
Por: Kindalova, P, et al.
Publicado em: (2021) -
Two for tau: automated model discovery reveals two-stage tau aggregation dynamics in Alzheimer’s disease
Por: Stockman, CA, et al.
Publicado em: (2024) -
Non-Asymptotic 𝑡-Wise Independence of Substitution-Permutation Networks
Por: Pelecanos, Angelos
Publicado em: (2022)