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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Yufeng Zang
April 16, 2003 08:44PM
Dear Doug Ward,

Thanks for your elaborate answers. Now, I fully understand the df calculation itself.

As to your A2, ¡®This does NOT mean that the statistical result itself is independent of the number of trials of each stimulus.¡¯ I read sections 1.2.11 and 1.4.4. again and I am still not aware of how the statistical result IS dependent of the number of trials. As I have learned, only adequate trials could generate a good estimated response function. Is it something like this?

Same as above, see example 1.4.4.5. We want to compare the difference between areas under the curves of two stimuli. As the statistics textbook has told us, the statistical result will depend on the sample size, say here, the number of curves of each stimulus. What is the case here?

Thanks again.

Yufeng
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Subject Author Posted

LC in 3dDeconvolve

Yufeng Zang April 16, 2003 02:06AM

Re: LC in 3dDeconvolve

B. Douglas Ward April 16, 2003 12:19PM

Re: LC in 3dDeconvolve

Yufeng Zang April 16, 2003 08:44PM

Re: LC in 3dDeconvolve

B. Douglas Ward April 17, 2003 11:24AM