AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

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smndpln
December 11, 2016 02:17PM
Dear AFNI experts,

my aim is to run a multiple linear regression on resting state functional connectivity maps from 17 subjects.
Predictors are represented by a 10-dimensional questionnaire.

I'm particularly interested in obtaining R2 coefficient, for each predictor, for each voxel. It is clear that I need to take in account dependencies between predictors, in this analysis.

I'm aware that a PCA can help solve this problem, but there is a way to take into account multicollinearity in 3dRegAna (or other programs) in multiple regression?

A related question: is there a method that allows to use independent bootstrapped regressions on input data (something similar to random trees generation)?
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Subject Author Posted

3dRegAna - Multicollinearity

smndpln December 11, 2016 02:17PM

Re: 3dRegAna - Multicollinearity

gang December 12, 2016 09:23AM

Re: 3dRegAna - Multicollinearity

smndpln December 14, 2016 04:37AM

Re: 3dRegAna - Multicollinearity

gang December 15, 2016 08:07AM