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Hello FreeSurfer Developers,
I have a general statistical question regarding regression models.

Our team attempts to create predictive models based on FreeSurfer outputs
such as volumes, thicknesses, and curvatures. The predictive variables we
are using include several demographic and metabolic factors. We have
adjusted our models to account for intracranial volume (ICV) in the
population. Instead of simply dividing our outputs by the ICV, we found
through our literature review that it is a better approach to include ICV
as a covariate alongside our predictive variables in the model.

However, we are concerned that including ICV in this manner leads to a
significant increase in the R-squared (R²) value of our models due to the
effect size provided by ICV. I would like to know whether this is a
statistically significant issue, and if it is, how we should address it.
Thanks again for your valuable help,
Yunus
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