Document the types of inference models in the user guide

nilearn / nilearn

Machine learning for NeuroImaging in Python

http://nilearn.github.io

Other

1.17k stars 590 forks source link

Document the types of inference models in the user guide #3228

Open tsalo opened 2 years ago

tsalo commented 2 years ago

I'm thinking that we should add a bit of narrative doc to explain the zoology of inference models (cluster size, cluster mess, one-and two-sided, parametric and non-parametric etc.)

Originally posted by @bthirion in https://github.com/nilearn/nilearn/pull/3181#pullrequestreview-943555994

tsalo commented 2 years ago

Just a couple of thoughts on good references for the documentation:

Woo, Krishnan, & Wager (2014): Overview of cluster-extent thresholding and how it impacts inference and reporting guidelines.
Smith & Nichols (2009): Describes threshold-free cluster enhancement.
Eklund, Nichols, & Knutsson (2016): The cluster failure paper. Discusses parametric and nonparametric approaches.