Shelby Reed PhD, RPh

shelby reed

Core Faculty

Shelby Reed, PhD, RPh


PhD, University of Maryland Baltimore

RPh, University of Maryland College Park

Shelby D. Reed, PhD, is a professor in population health sciences at the Duke University School of Medicine. She works primarily at the Duke Clinical Research Institute. Dr. Reed holds a PhD in pharmaceutical health services research from the University of Maryland School of Pharmacy and completed a 2-year postdoctoral fellowship in the Pharmaceutical Outcomes Research and Policy Program and the Center for AIDS Research at the University of Washington. Dr. Reed has nearly 20 years of experience in economic evaluation, health services research and health policy. Dr. Reed has extensive expertise in designing and conducting trial-based and model-based cost-effectiveness analyses of medical diagnostics and interventions in numerous therapeutic areas. She was a member of the ISPOR Task Forces that published recommendations for Good Research Practices for Cost-Effectiveness Analysis Alongside Clinical Trials in 2005 and 2015. She has led a wide range of economic and epidemiological studies using secondary data from health care claims, clinical trials, surveys and disease registries. In her evaluations of health policy issues, she has developed computer models to analyze the potential economic impact of trends in clinical trial design, changes in reimbursement policies, financial incentives and the regulatory process in the development of orphan drugs, and the societal value of alternative approaches to identifying drug safety problems. Over the last several years, her research has increasingly focused on stated-preference studies to evaluate benefit-risk tradeoffs, patient-centered value, and their application in comparative effectiveness research and clinical decision making.

Gonzalez Sepulveda JM, Johnson FR, Reed SD, Muiruri C, Hutyra CA, Mather RC. Patient-Preference Diagnostics: Adapting Stated-Preference Methods to Inform Effective Shared Decision Making. Med Decis Making. 2023 Feb;43(2):214–26.

Fairchild AO, Reed SD, Gonzalez JM. Method for Calculating the Simultaneous Maximum Acceptable Risk Threshold (SMART) from Discrete-Choice Experiment Benefit-Risk Studies. Med Decis Making. 2023 Feb;43(2):227–38.

Rincon-Gonzalez L, Selig WKD, Hauber B, Reed SD, Tarver ME, Chaudhuri SE, et al. Leveraging Patient Preference Information in Medical Device Clinical Trial Design. Ther Innov Regul Sci. 2023 Jan;57(1):152–9.