Good evening Freesurfers! I am building a GLM with 4 classes (control_F, control_M, patient_F, patient_M) to check for differences in cortical thickness between patients and control accounting for the effect of gender and age on cortical thickness.
How should my contrast be?
Thanks a lot,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823
Good morning Freesurfers! I am building a GLM with 4 classes (control_F, control_M, patient_F, patient_M) to check for differences in cortical thickness between patients and control accounting for the effect of gender and age on cortical thickness.
How should my contrast be?
Thanks a lot,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823
0 0 0 0 0.5 0.5 -0.5 -0.5 will compute control-patient slope accounting for gender
On 1/8/2021 7:49 AM, Barletta, Valeria wrote:
Good morning Freesurfers! I am building a GLM with 4 classes (control_F, control_M, patient_F, patient_M) to check for differences in cortical thickness between patients and control accounting for the effect of gender and age on cortical thickness.
How should my contrast be?
Thanks a lot,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Thanks. And what about the effect of age? Thank you,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823 ________________________________ From: freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu on behalf of Douglas N. Greve dgreve@mgh.harvard.edu Sent: Monday, January 25, 2021 5:24 PM To: freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] question on GLM
0 0 0 0 0.5 0.5 -0.5 -0.5 will compute control-patient slope accounting for gender
On 1/8/2021 7:49 AM, Barletta, Valeria wrote:
Good morning Freesurfers! I am building a GLM with 4 classes (control_F, control_M, patient_F, patient_M) to check for differences in cortical thickness between patients and control accounting for the effect of gender and age on cortical thickness.
How should my contrast be?
Thanks a lot,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edumailto:Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
0 0 0 0 0.25 0.25 0.25 0.25 will do it
On 1/26/2021 9:44 AM, Barletta, Valeria wrote:
Thanks. And what about the effect of age? Thank you,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823
*From:* freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.edu on behalf of Douglas N. Greve dgreve@mgh.harvard.edu *Sent:* Monday, January 25, 2021 5:24 PM *To:* freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu *Subject:* Re: [Freesurfer] question on GLM 0 0 0 0 0.5 0.5 -0.5 -0.5 will compute control-patient slope accounting for gender
On 1/8/2021 7:49 AM, Barletta, Valeria wrote:
Good morning Freesurfers! I am building a GLM with 4 classes (control_F, control_M, patient_F, patient_M) to check for differences in cortical thickness between patients and control accounting for the effect of gender and age on cortical thickness.
How should my contrast be?
Thanks a lot,
Valeria Barletta, MD Massachusetts General Hospital 149 13th Street, Charlestown MA 02129 (617)-724-8823
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu mailto:Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
freesurfer@nmr.mgh.harvard.edu
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Barletta, Valeria -
Douglas N. Greve