{"version":"1.0","type":"rich","title":"Gist 9540133","description":"This example simulates MRI brain-volume data from two sites, modeling healthy controls and patients with age and disease metrics to evaluate linear calibration transformations between sites. It compares ordinary least squares and robust linear models for estimating brain volume, testing three cross-site approaches: combined variables, combined with a site regressor, and calibrated site-2 measurements. The code uses NumPy for data generation, Statsmodels for regression models, and Matplotlib with prettyplotlib for visualization, while the notebook structure relies on IPython’s inline plotting.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-9540133?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}