Donald Rubin is an American statistician widely known for his contributions to the field of causal inference and statistics. He is best known for the development of the Rubin Causal Model (RCM), which provides a framework for understanding causal relationships through the use of potential outcomes. This model emphasizes the importance of randomization in experimental design and has significant implications for fields such as economics, social sciences, and epidemiology.
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