afni.nimh.nih.gov
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:
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
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
| February 04, 2020 05:23PM | |
:D :D :D
Thanks Paul for your (always) helpful response! You should turn it into a paper ;), many important points that I believe many of us are unaware of.
"I think many people have ignored the degree of freedom loss with bandpassing, and it is really a problem in interpreting results"
This comes to the crux of the matter. I suppose this is more a statistical rather than afni question, but how important really is to have less D.O.F.? If I am reading your response correctly, it should matter a lot, because you are saying that one D.O.F. less will be equivalent to removing 1 time point from the dataset?
Is this equivalent to the idea that including a regressor of zeros and ones (eg for censored volumes) amounts to deleting that volume from the dataset? Do bandpass regressors also consist of zeros and ones? I'm asking this because the output file from 3dTProject contains the same amount of volumes as the original dataset, so no volume seems to be deleted (or zeroed).
"AFNI: complicating analyses with pesky (but important) technical considerations since 1994!"
Thanks Paul for your (always) helpful response! You should turn it into a paper ;), many important points that I believe many of us are unaware of.
"I think many people have ignored the degree of freedom loss with bandpassing, and it is really a problem in interpreting results"
This comes to the crux of the matter. I suppose this is more a statistical rather than afni question, but how important really is to have less D.O.F.? If I am reading your response correctly, it should matter a lot, because you are saying that one D.O.F. less will be equivalent to removing 1 time point from the dataset?
Is this equivalent to the idea that including a regressor of zeros and ones (eg for censored volumes) amounts to deleting that volume from the dataset? Do bandpass regressors also consist of zeros and ones? I'm asking this because the output file from 3dTProject contains the same amount of volumes as the original dataset, so no volume seems to be deleted (or zeroed).
"AFNI: complicating analyses with pesky (but important) technical considerations since 1994!"
| Subject | Author | Posted |
|---|---|---|
|
samw | September 18, 2019 06:43PM |
|
ptaylor | September 23, 2019 09:48AM |
|
samw | February 03, 2020 02:04PM |
|
ptaylor | February 04, 2020 10:11AM |
|
samw | February 04, 2020 05:23PM |
|
ptaylor | February 04, 2020 09:42PM |
|
kausar | May 28, 2020 11:03AM |
