On 2/21/2022 6:50 PM, Zeng, Victor (BIDMC - Keshavan - Psychiatry) wrote:
External Email - Use Caution
Do you have a Freesurfer page I can read up on those hybrid ways just
to see whether that could be an option?
No, this is a general statistics question, not something FS-specific.
Also, although its a binary, you would recommend against have sex be a
continuous measurement like age, due to the design of how the
contrasts are determined? I.e continuous measurements aren't treated
like integers
It is not that. It is that when you say that M=1 and F=2, you are
expecting F to be twice that of M (or half). This usually does not make
sense.
Victor Zeng
Beth Israel Deaconess Medical Center
Keshavan Lab
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*From:* freesurfer-boun...@nmr.mgh.harvard.edu
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas N. Greve
<dgr...@mgh.harvard.edu>
*Sent:* Sunday, February 13, 2022 12:24 PM
*To:* freesurfer@nmr.mgh.harvard.edu <freesurfer@nmr.mgh.harvard.edu>
*Subject:* [External] Re: [Freesurfer] classes for GLM analysis
It is probably not going to work very well if you have some classes
that only have one member. You can eliminate members of classes that
only have a few members. If you really need to have those cases, there
are hybrid ways to analyze the data (but you can't use an FSGD at that
point)
On 2/6/2022 10:41 PM, Zeng, Victor (BIDMC - Keshavan - Psychiatry) wrote:
External Email - Use Caution
Hi all,
I am doing an analysis and generating the FSGD. I understand sex and
race are classes in this context, but something I was also hoping to
regress out is the effects of scanner/sequences. We have a large
participant size, so we have around 10+ scanner/sequences, which
makes for a large amount of classes combinations, with some having
just 1 (if not zero) fitting into a class.
Would you proceed with this nonetheless? If not, should
scanner/sequence be something that we consider? Should we find some
other way to adjust site (I don't think we can z-score...). Or can we
consider site/scanner as a continuous variable
Victor Zeng
Beth Israel Deaconess Medical Center
Keshavan Lab
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