James Robins is a prominent statistician and epidemiologist known for his work in causal inference and the development of methodologies in epidemiology. He has made significant contributions in areas such as statistical modeling, the analysis of observational data, and the understanding of causal relationships in health research. Robins is associated with the concept of "causal diagrams" and the development of techniques for handling confounding variables and missing data in epidemiological studies.
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