You can standardize them yourself. rvar.mgh is the residual variance and
Xg is the design matrix. Between those and the beta values, you can
standarize the betas
On 10/7/2020 3:39 PM, Batool Rizvi wrote:
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Hi Dr. Greve,
Thank you for your response! Not sure if you already addressed this,
but my second question was whether there is a way to derive the (95%)
confidence intervals for my covariates that were included in the
mri_glmfit analyses?
Thanks again!
Batool
On Wed, Oct 7, 2020 at 7:31 AM Douglas N. Greve
<dgr...@mgh.harvard.edu <mailto:dgr...@mgh.harvard.edu>> wrote:
On 10/6/2020 4:26 PM, Batool Rizvi wrote:
External Email - Use Caution
Hi,
I had a couple additional questions related to this topic.
1. The beta-coefficients I derived from using the mri_segstats
command with the input beta.mgh, are these values unstandardized?
Yes, that have not been standarized
2. Just wondering, is there a possible way to also derive 95%
confidence intervals for my covariates that were included in the
mri_glmfit analyses?
You can standardize them yourself. rvar.mgh is the residual
variance and Xg is the design matrix. Between those and the beta
values, you can standarize the betas
Thanks so much for your help!
Batool
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