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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gang
August 29, 2014 04:56PM
Hi Jesse,

> 1) is 3dLME the right choice for this, or is 3dMVM just as good?

For this specific case of yours, both programs would be able to handle it. However, 3dLME is a little more flexible. Specifically, 3dMVM would model most of the interactions even though you might not be interested in some of them.

> 2) does the model and glt look correct? I've tried running this with or without the "time : 1*time1 -1*time2"
> portion of the GLT and get the exact same results with/without it.

It looks like that both quantitative variables do not vary within subject. So the correct random effect specification is

-ranEff '~1' \

The GLT coding seems fine.

> 3) does the combined 3dICC_REML + LME approach sounds statistically legit?

When you compute ICC, I assume that you would not set 'time' as fixed effect in 3dICC_REML.

Gang
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3dLME for longitudinal control vs. patient study?

jbrown August 29, 2014 02:39PM

Re: 3dLME for longitudinal control vs. patient study?

gang August 29, 2014 04:56PM