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?
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 Victor Zeng Beth Israel Deaconess Medical Center Keshavan Lab -- ________________________________ 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 -- _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu> https://secure-web.cisco.com/1lNoxYAd17Vg3XrVRX1z0ckNTWUKKuu5TPNUHh0E3g3yFlufcWc2aTx6EVslu7ouBwHvu7QPcKhSpfCplA8c_TqEgMrnwfUGUvppYBn4evuQ4_8yh25OclxkQfyvnv_O2Yxz94xH4jFBg7DXcVqM0agnLbYff81yzQraaBJ8DOKwD9wunWGPMQhexdjLo6ML7oghd3xTXjQAa8vwSuEFjw-g0Uxls0FSculJt0B9pgsXJQDIi2GuOdFVh7kAdXjby-lre_FluHO2_KQ4Cz-eNYeEyXZX6q6C09CqH7jq8JfK8VERfmUw5M0iKoB-ssA7u/https%3A%2F%2Fmail.nmr.mgh.harvard.edu%2Fmailman%2Flistinfo%2Ffreesurfer<https://secure-web.cisco.com/1e58fbAB8bqm7NyMtK8bHh7_ADs4rJ1eJVjFa6RmNOqRvv5vg65kchIzr15LWl7zHaU-d2Q-sk_kxMV3GrldfYKVX5nxsInjHqrZW5hXBohWIbe9tDyDc8fVZUJ_v1KTsJLUnQP04g79MxnlFuKNxknOo-IqbpEzNKBQao0B2ALpLzqZON9xwp1VX53Bc4yDM--1gAyd6ocwWVK7WpTGxyHY3x7zXw_Vd5o2M5RHxlrL-8Q5CcJLyFT9V2-J6GASLNz0kNV16joDe-ehG7a5_cnxuKyq5RIgWDIUsENquGg2IrEYV6H0ZFo2qnNVk9drS/https%3A%2F%2Furldefense.com%2Fv3%2F__https%3A%2F%2Fmail.nmr.mgh.harvard.edu%2Fmailman%2Flistinfo%2Ffreesurfer__%3B%21%21CvMGjuU%21oWSHsHxjED1I9do4R5UyRdbrrRZ0JwASmA6lT5nMBEMbU4m_jfTGWrhBU-2K4sn01nxIwg%24>
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