Donald Rubin

Donald Rubin is a prominent statistician known for his work on causal inference and experimental design. He developed the Rubin Causal Model, which provides a framework for understanding how to determine whether one event causes another. His approach emphasizes the importance of randomization in experiments to draw reliable conclusions. Rubin's methods are widely used in fields like social science, medicine, and economics to analyze data and make informed decisions based on observed relationships and potential causal effects. His contributions have significantly influenced how researchers evaluate the impact of interventions and treatments.