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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Karelo
December 03, 2020 10:45AM
Gang,

> Could you describe the types of those explanatory variables (including covariates)? Are they between-subject or within-subject?

We will perform two analyses. The first one include 7 within variables of interest (3 main effects and the 4 possible interactions) , 2 covariates of no interest (within) and 2 factors of no interest (between). The second one will include 2 variables of interest (within), one between and the 4 possible interactions (1 within and 3 between), two covariates of no interest (within) and 2 factors of no interest (between).

> 3dLMEr is based on linear mixed-effects modeling at the voxel level, and does not offer a way to adjust for multiplicity.

In that case, which approach could offer a way to adjust for multiplicity?

Thank you so much,
Karel
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Subject Author Posted

Group analysis and clustering using surfaces

Karelo December 01, 2020 12:06PM

Re: Group analysis and clustering using surfaces

gang December 02, 2020 11:32AM

Re: Group analysis and clustering using surfaces

Karelo December 03, 2020 10:45AM

Re: Group analysis and clustering using surfaces

gang December 04, 2020 12:23PM