Miguel Hernán is a prominent figure in the field of epidemiology and biostatistics. He is known for his work in causal inference, health outcomes research, and the application of statistical methods to public health issues. Hernán is a professor at Harvard University's T.H. Chan School of Public Health and has contributed significantly to the development of methodologies for observational studies, particularly in understanding causal relationships in public health data.
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