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The Causal Inference and Health Economics research group studies how healthcare policies, treatments, and interventions affect health outcomes and costs.
We use data and the adequate statistical method to find cause-and-effect relationships. The goal is to inform healthcare decisions, to make them more effective and equitable. Our work combines data science with health economics and epidemiology.
Head: M. Serra-Burriel (E-Mail)