{"version":"1.0","type":"rich","title":"Gist 560eb7758354bb52ada6","description":"This notebook analyzes MRI volumetric reliability and power for a multisite study, showing how between-site reliability and study size affect the ability to detect genetic effects on brain volumes. It uses statsmodels and NumPy for statistical calculations, pandas for data tables, and matplotlib with pylab inline mode to render reliability metrics and power curves. The visualization includes tables of intraclass correlation coefficients and power curve figures for varying site numbers, effect sizes, and reliability thresholds.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-560eb7758354bb52ada6?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}