Robust group analysis using outlier inference.
Neuroimaging group studies are typically performed with the assumption that subjects used are randomly drawn from a population of subjects. The population of subjects is assumed to have a distribution of effect sizes associated with it that are Gaussian distributed. However, in practice, group studies can include "outlier" subjects whose effect sizes are completely at odds with the general population for reasons that are not of experimental interest. If ignored, these outliers can dramaticall...Expand abstract
- Publication status:
- Publisher copy:
- Copyright date:
Views and Downloads
If you are the owner of this record, you can report an update to it here: Report update to this record