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Gist 9540056

✓ Published0🌍 Public
Aakeshavan
Last edited Mar 14, 2014
Created on Mar 14, 2014

This visualization simulates multi-site MRI data, modeling brain volume across two sites for control and patient groups, and compares three regression strategies for combining site data, including a linear calibration transformation. It shows how model predictions and confidence intervals vary across age and disease metrics. Built in a Jupyter notebook, the code uses NumPy for data generation, statsmodels for ordinary least squares and robust linear model fitting, and matplotlib with prettyplotlib for plotting the results.

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