Paul R. Rosenbaum

Paul R. Rosenbaum is a prominent statistician known for his work in causal inference and the design of observational studies. His research focuses on developing methods to assess whether an observed relationship between two variables is truly causal or influenced by other factors, especially when controlled experiments are not possible. Rosenbaum’s work helps researchers draw more accurate conclusions from real-world data, emphasizing rigorous statistical techniques to reduce bias and error. He has significantly contributed to the understanding of how to make valid inferences about cause-and-effect relationships in social sciences, healthcare, and beyond.