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

History of AFNI updates  

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April 01, 2003 10:49AM

Hello Lukas:

Since you are currently performing a "within subjects analysis", you can
use program 3dDeconvolve to perform the ANOVA. See Section 1.4.5, Multiple
Linear Regression Approach to ANOVA, contained in file 3dDeconvolve.ps.
Try working through the examples in that section. Note how the GLT matrices
can be used to test for main effects and interactions.

(I hope you have an older version of AFNI. Someone, who's name I won't mention,
but his initials are RWC, introduced an error into my matrix arithmetic
library, which may cause the current version of program 3dDeconvolve to crash
when the polort -1 option is used.)

In any case, when working with the actual fMRI time series data, do NOT use
polort -1. Another difference between the examples in Section 1.4.5 and the
intended application is that, if you are using multiple time lags to model
the IRF, you will need to extend the GLT matrices accordingly. That is,
multiple (IRF) parameters correspond to the different levels of the different
factors.

Since this is a within subject analysis, the fixed effects model is
appropriate. That is, the different levels of the 2 factors are of inherent
interest. If, in the future, you combine results across subjects, then
a mixed effects model would be appropriate, where the Subject factor is
treated as a random factor. The reason is that the different subjects
constitute a random sample from the general population, and, as such, are not
of inherent interest. This would probably require using program 3dANOVA3.

Doug Ward
Subject Author Posted

statistical question

Lukas Pezawas March 31, 2003 05:57PM

Re: statistical question

B. Douglas Ward April 01, 2003 10:49AM

Re: statistical question

Lukas Pezawas April 01, 2003 02:20PM

Re: statistical question

B. Douglas Ward April 01, 2003 02:53PM

Thanks!

Lukas Pezawas April 01, 2003 03:53PM