Welcome to CTML

A center advancing the state of the art in causal inference methods applied to health.

Image credit:
Keegan Houser

About CTML

The Center for Targeted Machine Learning and Causal Inference, at UC Berkeley is an interdisciplinary research center for advancing, implementing and disseminating statistical methodology to address problems arising in public health and clinical medicine. The Center brings the rigor and power of statistical theory together with advances in machine learning and causal inference to generate robust evidence for advancing health.

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