Mailing Address:
Harvard Medical School
Department of Ambulatory Care and Prevention
133 Brookline Avenue, 6th Floor
Boston, MA 02215

Email: natasha_stout@hms.harvard.edu

Phone: (617) 509-9914
Fax: (617) 859-8112

Staff Assistant:Christina Kara

Natasha Stout, PhD

Natasha Stout, Ph.D., is an Instructor in the Department for Ambulatory Care and Prevention at the Harvard Medical School. Her research focuses on the development and application of population-based computer simulation models to inform decision making in health policy and improve population health. In particular, she is interested in cancer natural history modeling to evaluate prevention and control strategies. Her current research agenda includes quantifying tradeoffs between clinical benefits and risks associated with alternative breast and cervical cancer screening policies in the U.S. to inform individuals as well as to guide policy decisions and resource allocation. Of particular interest is the evaluation of over-diagnosis in early stage breast cancer. Other research interests include cost-effectiveness analysis and technology assessment. She is affiliated with the Program in Health Decision Science at the Harvard School of Public Health and the National Cancer Institute's CISNET collaboration. Natasha holds a Ph.D. in Population Health Sciences and a Masters degree in Industrial Engineering (Operations Research and Decision Sciences concentration) from the University of Wisconsin. Prior to her Ph.D., she worked at Epic Systems, a software company in the field healthcare information systems.

Recent publications:

• Fryback DG, Stout NK, Rosenberg MA. An Elementary Introduction to Bayesian Computing Using WinBUGS. International Journal of Technology Assessment in Health Care 2001;17(1):98-113.
• Stout NK, Rosenberg MA, Trentham-Dietz A, Smith MA, Robinson SM, Fryback DG. Retrospective Cost-Effectiveness Analysis of Screening Mammography. Journal of the National Cancer Institute. 2006;98(11):774-782.
• Fryback DG, Stout NK, Rosenberg MA, Trentham-Dietz A, Kuruchittham V Remington PL. The Wisconsin Breast Cancer Epidemiology Simulation Model. Journal of the National Cancer Institute Monographs. 2006;36:37-47.
• Kim JJ, Kuntz KM, Stout NK, Mahmud S, Villa LL, Franco EL, Goldie SJ. Multi-Parameter Calibration of a Natural History Model of Cervical Cancer. American Journal of Epidemiology. 2007;166(2):137-150.
• Goldhaber-Fiebert JD, Stout NK, Salomon JA, Kuntz KM, Ortendahl J, Goldie SJ. Calibrating and Validating a Microsimulation of Human Papillomavirus and Cervical Cancer. Population Health Metrics. 2007;5(11):1.
• Tosteson ANA, Stout NK, Fryback DG, Acharyya S, Herman B, Hannah H, Pisano E. Cost-Effectiveness of Digital Mammography Breast Cancer Screening: Results from ACRIN DMIST. Annals of Internal Medicine. 2008;148(1):1-10.
• Goldhaber-Fiebert JD, Stout NK, Salomon JA, Kuntz KM, Goldie SJ. Cost-Effectiveness Analysis of HPV-DNA Testing and Prophylactic HPV Vaccination for the Prevention of Cervical Cancer in the U.S. Journal of the National Cancer Institute (In Press).
• Stout NK, Goldie SJ. Keeping Down the Noise: Common Random Numbers for Disease Simulation Modeling. Health Care Management Science (In Press).
• Stout NK, Goldhaber-Fiebert JD, Ortendahl J, Goldie SJ. Tradeoffs in Cervical Cancer Prevention: Balancing Benefits and Risks. Archives of Internal Medicine. In Press.