R. Donald Rubin

R. Donald Rubin is a prominent statistician renowned for his work on causal inference and the development of the Rubin Causal Model. He introduced methods to help researchers understand cause-and-effect relationships in various fields, such as medicine and social sciences. His approach emphasizes using randomized experiments and observational data to draw valid conclusions. One of his key contributions is the concept of "potential outcomes," which helps analyze what would happen under different scenarios. Rubin's work greatly influences how we design studies and interpret data, aiming to improve decision-making based on rigorous statistical principles.