{"version":"1.0","type":"rich","title":"Gist 9541615","description":"This example shows how changing simulation parameters affects a statistical model of brain volume across multiple sites. It displays calibration correlations between two imaging protocols and separates model coefficients for age and disease effects by site. The code uses Python with matplotlib, numpy, statsmodels (OLS and RLM), and prettyplotlib to generate plots, while a Vue-based interface likely controls the adjustable inputs.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-9541615?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}