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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bob cox
December 11, 2003 10:30AM
Third, the full model F statistic is computed using all of the calculated IRFs, the input stimulus functions, and estimates of baseline, trend, and noise to relate how well the data fits the full model.

Two regression models are fit: the baseline model (polynomial plus any -stim_base regressors), and the full model (baseline plus regressors including the IRF). The full F statistic is a measurement of how much the full model is an improvement over the baseline model. If the baseline model fits very well, then the full F might be small, since the IRF might add little explanatory power.

bob cox
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3dDeconvolve: IRF fit

Jay December 10, 2003 02:22PM

Re: 3dDeconvolve: IRF fit

Gang Chen December 10, 2003 03:29PM

Re: 3dDeconvolve: IRF fit

bob cox December 11, 2003 10:30AM