[FieldTrip] Bayesian "follow-up" on Cluster-Based Permutation Tests

Blume Christine christine.blume at sbg.ac.at
Sun Mar 11 18:21:20 CET 2018

Dear FT-Community,

In the analysis of high-density EEG data for a recent manuscript (https://www.biorxiv.org/content/early/2017/12/06/187195) we have used the cluster-based permutation approach. While the reviewers commended the choice of this approach, one reviewer would like us to calculate a Bayesian measure in addition to the Monte Carlo p values. Does anyone have a recommendation how to best approach this, any "best practice" to share?

It is quite easy to calculate a Bayes factor as a follow-up on classic t-tests for example (e.g. see here http://www.lifesci.sussex.ac.uk/home/Zoltan_Dienes/inference/Bayes.htm). However, even though the permutation approach uses a t-value as a test statistic, it is not a "t-test"...


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