Hi,

I've been playing with BayesianGroupAna.py and would like to perform the equivalent of a between group t-test. Is this possible? Having read the paper, it would seem that it should be theoretically possible.

The example analysis in the paper describing the rational for BayesianGroupAna.py, operationally defined brain activity as the Z scored correlation between a seed and the other pre-specified ROIs with the effect of interest being the relationship between these z-scores and the theory of mind inventory score. However, I have a more classic task (regressors and contrasts thereof) and am wondering if I can even analyze such a task using BayesianGroupAna.py? To be more specific, I've created regressors of interest from my task and computed GLM contrasts using an afni_proc.py pipeline. Does it make even sense to feed the results from such contrasts (averaged over pre-specified ROIs typically activated by the class of task as indicated by Neurosynth) into BayesianGroupAna.py assuming it can perform the Bayesian equivalent of a two group t-test?

(Also (tangentially), reading the MBA help text Example 3, is SA the product of sex and age? If so, shouldn't the last two rows in the example then have SA as positive since sex and SA are both negative?)

Thanks in advance,

Colm.