Dear Freesurfer Community, I'm running into the issue of how to deal with testing the interaction effects of a model with multiple categorical variables. I have tried bypassing this issue by running multiple separate FSGD analyses, however, I wonder if this is the best mention to do this....
To put it into statistical terms, I am interested in creating a model that looks at group differences (2: HC vs Dx), and its interaction with test score (2: High vs Low) while still controlling for nuisance variables (sex, age). in other words: Cortical Thickness ~ Group + Group*Score + Score + Sex + Age Group*Score = interaction term I am mostly confused with how to appropriately create a contrast file that can show the interaction between Group and Score (two categorical variables) and STILL regress out the effects of sex. Is this even possible using fsgd? Thank you in advance! Lindsay -- Lindsay Hanford, BSc, PhD Candidate McMaster Integrative Neuroscience Discovery & Study | *Department of Psychology, Neuroscience & Behaviour * McMaster University *|* 1280 Main Street West, PC329 Psychology Building *|* Hamilton, ON, L8S 4L8 905 525 9140 x24784 *|* lindsay.hanf...@gmail.com
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