Michael Harhay, PhD, MPH
Assistant Professor of Epidemiology and Medicine (Pulmonary and Critical Care)
Dr. Michael Harhay leads a research program that develops statistical methods, study designs, and outcome measures to improve studies for patients with critical and severe illnesses such as sepsis, respiratory failure, shock, acute kidney injury, and end-stage organ disease. As director of the NIH and PCORI-funded Clinical Trials Methods and Outcomes Lab at Penn’s PAIR Center, his team is particularly interested in developing and using causal inference methods to better design and analyze pragmatic and cluster-randomized trials for these patient populations. Dr. Harhay’s team has contributed to a wide range of clinical trial methodology areas, including informatively missing/truncated data, clustered survival methods, estimand refinement, Bayesian trial applications, small-sample corrections, and making the best use of baseline covariate information. He also leads and collaborates on multiple studies focused on the allocation of solid organs for transplantation and on long-term outcomes following hospitalization.
Dr. Harhay has authored more than 200 scientific publications and is involved in several international research activities, including randomized trial data safety and monitoring boards, societal and trial steering committees, and research consortia. He currently serves as a statistical editor for several leading journals in critical care medicine and is an editor of the International Journal of Epidemiology. As an educator, he has developed and leads several new graduate courses and serves as vice chair of the PhD program in epidemiology at Penn. Dr. Harhay also has several health system collaborations where he helps design randomized evaluations of new alerts and processes across several service lines. He is the recipient of several teaching and early career awards, including the 2021 Assembly on Critical Care Early Career Achievement Award from the American Thoracic Society.
Content Area Specialties
Critical care, pulmonary, and cardiovascular medicine; analysis and design of randomized trials; solid-organ transplantation
Clinical epidemiology, medical statistics (prediction modeling, clustered and multilevel data, time-to-event/survival analysis); informatively missing and truncated data; econometrics and policy evaluation