Stanford University School of Medicine
117 Encina Commons, Room 217
Stanford, CA 94305-6019

jeremygf@stanford.edu
(650) 721-2486 (voice)
(650) 723-1919 (fax)

Research Interests
Decision science; International health policy; Cost-effectiveness analysis; Simulation modeling

Jeremy Goldhaber-Fiebert, PhD, is an Assistant Professor of Medicine at Stanford University's School of Medicine, a Core Faculty Member at the Center for Health Policy/Primary Care and Outcomes Research, and a Faculty Affiliate of the Stanford Center on Longevity.

His research focuses on complex policy decisions in health and medicine: how to improve population health given the reality of budgetary and other resource constraints. He is keenly interested in applying a model-based, decision-analytic framework to these problems as they relate to a range of infectious and non-communicable diseases in both developed and developing countries. To do so, he constructs, calibrates, and validates computer-based models of diseases in populations that allow him to consider the health, economic, and distributional implications of alternative policies.

Dr. Goldhaber-Fiebert graduated magna cum laude from Harvard College in 1997, with an A.B. in the History and Literature of America. After working as a software engineer and consultant, he conducted a year-long public health research program in Costa Rica with his wife in 2001. Winner of the Lee B. Lusted Prize for Outstanding Student Research from the Society for Medical Decision Making in 2006, he completed his PhD in Health Policy concentrating in Decision Science at Harvard University in 2008.

Past and current research topics:

1. Type 2 diabetes and cardiovascular risk factors: Randomized and observational studies in Costa Rica examining the impact of community-based lifestyle interventions and the relationship of gender, risk factors, and care utilization.
2. Cervical cancer: Model-based cost-effectiveness analyses and costing methods studies that examine policy issues relating to cervical cancer screening and human papillomavirus vaccination in countries including the United States, Brazil, India, Kenya, Peru, South Africa, Tanzania, and Thailand.
3. Measles, haemophilus influenzae type b, and other childhood infectious diseases: Longitudinal regression analyses of country-level data from middle and upper income countries that examine the link between vaccination, sustained reductions in mortality, and evidence of herd immunity.
4. Patient adherence: Studies in both developing and developed countries of the costs and effectiveness of measures to increase successful adherence. Adherence to cervical cancer screening as well as to disease management programs targeting depression and obesity is examined from both a decision-analytic and a behavioral economics perspective.
5. Simulation modeling methods: Research examining model calibration and validation, the appropriate representation of uncertainty in projected outcomes, the use of models to examine plausible counterfactuals at the biological and epidemiological level, and the reflection of population and spatial heterogeneity.