Dr. Miguel Hernan

Biography

Miguel Hernan is a prominent researcher at Harvard T.H. Chan School of Public Health, focusing on the methodology of causal inference and comparative effectiveness in policy clinical interventions. His work emphasizes the importance of utilizing findings from randomized experiments to inform public health recommendations and clinical decision-making. Hernan's research is centered around the challenges posed by observational data, where ethical concerns and practical limitations often prevent the execution of randomized trials. He collaborates with experts to combine observational data with statistical methods in order to emulate the insights gained from hypothetical randomized experiments. A key aspect of his work is the formulation of precise causal questions and the application of analytic approaches that account for the complexities of real-world data, particularly when time-varying confounders are suspected. His contributions seek to improve the validity of causal inferences drawn from observational studies, with the potential guidance on the design of future randomized trials.

Research Interests

Experience