CAUSALab at Harvard T.H. Chan

CAUSALab uses data to investigate what works in medicine, public health, and policy. We generate, analyze, and interpret data so that decision makers—patients, clinicians, regulators, policy makers…—can make better decisions. By combining sound methodology with high-quality data, we produce actionable causal inference with real-world impact. We also train the next generation of investigators.