Jennifer Mason Lobo, Ph.D.
My research interests involve using mathematical modeling and stochastic optimization methods (primarily Markov modeling, Markov decision processes, and Monte Carlo simulation) to build models that simulate the natural course of disease. These models allow for estimation of outcomes under different screening and treatment policies in the absence of randomized controlled trials, and can be used to optimize screening and treatment decisions for patients with chronic diseases. My current projects include optimizing treatment for patients with type 2 diabetes, generating individualized decision analysis models for prostate cancer patients, and developing optimal imaging surveillance guidelines for secondary renal cell carcinoma.
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.
Lobo, J.M., Dicker, A.P., Buerki, C., Daviconi, E., Karnes, R.J., Jenkins, R.B., Patel, N., Den, R.B., Showalter, T.N., "Evaluating the clinical impact of a genomic classifier in prostate cancer using individualized decision analysis," PLOS ONE, 2015 (forthcoming).
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?," Diabetes Care, 37(5): 1338-45, 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]
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