{"version":"1.0","type":"rich","title":"Gist 9963650","description":"This visualization demonstrates how linear calibration transforms MRI brain volume measurements from two scanner sites, comparing simulated models that combine variables, add site regressors, or calibrate data to evaluate equivalence between scanners. It uses Python with numpy, matplotlib, seaborn, statsmodels, scipy, and rpy2 to run ordinary least squares and robust linear models, while rendering plots inline via IPython Notebook.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-9963650?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}