Paul Rosenbaum

Paul Rosenbaum is a renowned statistician specializing in observational studies and causal inference. His work focuses on developing methods to accurately determine whether one thing causes another, even when experiments aren’t possible. Rosenbaum’s techniques help researchers control for confounding factors and bias, improving the reliability of findings in fields like medicine, social sciences, and economics. His contributions have significantly advanced how scientists interpret complex data, making conclusions more trustworthy when randomized trials can’t be conducted.