Michael Harhay, PhD, MPH
Assistant Professor of Epidemiology, Medicine (Pulmonary and Critical Care), and Statistics and Data Science
Assistant Professor of Epidemiology, Medicine (Pulmonary and Critical Care), and Statistics and Data Science
Dr. Michael Harhay specializes in the statistical design, analysis, and interpretation of large randomized trials and cohort studies. He has been formally involved in >20 randomized trials to date in varying capacities and has particular research interests in many of the most challenging topics in the design and analysis of contemporary trials, including (composite) outcome measure development and interpretation, methods for missing outcome data, health-system embedded and pragmatic cluster-randomized designs, Bayesian and adaptive trial methods, and applications of causal inference methods to augment the interpretation of randomized (experimental) data. His review of Bayesian statistics for clinical research is available in The Lancet.
At Penn, he oversees a broad extramurally-funded research portfolio, including serving as the primary investigator of a PCORI cluster trial methodology award, and MPI of a NHLBI R01 developing Bayesian causal inference methods for ARDS trials, a NIA R01-funded hybrid type I pragmatic cluster trial to improve hospital palliative care delivery, and of Penn’s NHLBI/NIGMS ARDS, Pneumonia, and Sepsis (APS) Phenotyping Consortium site (U01-HL168419).
Dr. Harhay has authored more than 250 scientific publications and is involved in a wide range of international research activities, including randomized trial data safety and monitoring boards, societal and trial steering committees, research consortia, and serves as deputy editor of the American Journal of Respiratory and Critical Care Medicine and is an editor of the International Journal of Epidemiology.