Jennifer Mason Lobo, Ph.D.
Division of Biomedical Informatics
Department of Public Health Sciences
Ph.D., North Carolina State University, Industrial Engineering, 2012
P.O. Box 800717
Health System West Complex Room 3003
Decision analysis, Markov decision processes, approximate dynamic programming methods, Markov models, Monte Carlo simulation models
I am interested in using Operations Research methods to address medical decision making questions. My current research involves designing optimal treatment and screening guidelines for patients with chronic diseases and studying the effects of poor medication adherence on patient outcomes.
Zhang, Y., McCoy, R.G., Mason, J.E., Smith, S.A., Shah, N.D., Denton, B.T., "Second-line Agents for Glycemic Control for Type 2 Diabetes: Are Newer Agents Better?," in press, to appear in Diabetes Care, 2014. [Link]
Mason, J.E., Denton, B.T., Shah, N.D., Smith, S.A., "Optimizing the Simultaneous Management of Blood Pressure and Cholesterol for Type 2 Diabetes Patients," European Journal of Operational Research, 233(3): 727-738, 2014. [Link]
Mason, J.E., Denton, B.T., "Decision Maker Perspectives on the Optimal Time to Initiate Treatment," IBM Journal of Research and Development special issue on Technologies for Healthcare Transformation, 56(5): 8:1-8:12, 2012. [Link]
Mason, J.E., England, D.A., Denton, B.T., Smith, S.A., Kurt, M., Shah, N.D., "Optimizing Statin Treatment Decisions for Diabetes Patients in the Presence of Uncertain Future Adherence," Medical Decision Making, 32(1): 154-166, 2012. [Link]
Shah, N.D., Mason, J.E., Kurt, M., Denton, B.T., Schaefer, A.J., Montori, V.M., Smith, S.A., "Comparative Effectiveness of Guidelines for the Management of Hyperlipidemia and Hypertension for Type 2 Diabetes Patients," PLoS ONE, 6(1): e16170, 2011. [Link]
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