Sources of information waste in neuroimaging: mishandling structures, thinking dichotomously, and over-reducing data
Neuroimaging relies on separate statistical inferences at tens of thousands of spatial
locations. Such massively univariate analysis typically requires an adjustment for multiple …
locations. Such massively univariate analysis typically requires an adjustment for multiple …
[PDF][PDF] Sources of Information Waste in Neuroimaging: Mishandling Structures, Thinking Dichotomously, and Over-Reducing Data
G Chen, PA Taylor, J Stoddard, RW Cox, PA Bandettini… - humanbrainmapping.org
Neuroimaging relies on separate statistical inferences at tens of thousands of spatial
locations. Such massively univariate analysis typically requires an adjustment for multiple …
locations. Such massively univariate analysis typically requires an adjustment for multiple …
[PDF][PDF] Sources of Information Waste in Neuroimaging: Mishandling Structures, Thinking Dichotomously, and Over-Reducing Data
G Chen, PA Taylor, J Stoddard, RW Cox… - Aperture …, 2022 - apertureneuro.org
Neuroimaging relies on separate statistical inferences at tens of thousands of spatial
locations. Such massively univariate analysis typically requires an adjustment for multiple …
locations. Such massively univariate analysis typically requires an adjustment for multiple …
Sources of information waste in neuroimaging: mishandling structures, thinking dichotomously, and over-reducing data
G Chen, PA Taylor, J Stoddard, RW Cox, PA Bandettini… - 2021 - europepmc.org
Neuroimaging relies on separate statistical inferences at tens of thousands of spatial
locations. Such massively univariate analysis typically requires an adjustment for multiple …
locations. Such massively univariate analysis typically requires an adjustment for multiple …
[PDF][PDF] Sources of Information Waste in Neuroimaging: Mishandling Structures, Thinking Dichotomously, and Over-Reducing Data
G Chen, PA Taylor, J Stoddard, RW Cox, PA Bandettini… - apertureneuro.org
Neuroimaging relies on separate statistical inferences at tens of thousands of spatial
locations. Such massively univariate analysis typically requires an adjustment for multiple …
locations. Such massively univariate analysis typically requires an adjustment for multiple …