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betas with SE to allow calculation of t-stat per each time point #103
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Hi! In the development branch there is the function What I don't know is how this interacts with estimation of autocorrelation / whitening which is usually performed in fMRI research. So far I haven't used single subject SE errors very much. |
Thanks for the tip about the uf_se.m function. |
Recently moved the uf_se to the uf_se branch. (just in case someone is looking for the function) |
Hi,
I wonder if there is a simple way to output along with the betas an estimate of the Standard Error (SE) - that would allow to compute t-stat in each time-point (separately in each predictor). Currently I'm not sure how to compute statistics at the single channel / single time-point level.
There is one study by Golan et al that tackled this issue in a deconvolution analysis applied to intracranial EEG. They refer to a method described in Davidson and Mackinnon (1993):
Any thoughts on how to implement something like this in unfold?
Thanks!
Itzik
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