
“The quality and coverage of B2B contact database are very impressive...”
Mark J.
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+5
We generate, analyze, and interpret health data so that decision makers - patients, clinicians, regulators, policy makers can make better decisions. By combining sound methodology and AI with high-quality data, we produce actional causal inference with real-world impact. We also train the next generation of investigators and methodologists at Harvard T.H. Chan School of Public Health
Causal inference,public health,health care,epidemiology,biostatistics,artificial intelligence,research,higher education,statistics,and data analysis
Causalab operates in the Public health industry.
Causalab's revenue is 11m - 100m
Causalab has 11 - 50 employees.
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