HAP 823

Causal Analysis & Comparative Effectiveness. 3 credits

George Mason University · UGRD · Fall 2026

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Apply knowledge of discovery and data science methods to create network models of health data to predict population and public health outcomes. Analyze massive, high-dimensional data, using repeated and chained LASSO regressions, to create Causal Networks, and understand competing effects of multiple causes and mediators. Offered by Hlth Admin, Policy/Informatics . May not be repeated for credit.

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Class #george_mason-4394Fall 2026UGRD
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