Hawre Jalal, MD, MSc, PhD

Assistant Professor, Health Policy and Management

Assistant Professor, Public Health Dynamics Lab

Contact

A618 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261
R-znvy: uwnyny@cvgg.rqh
Primary Phone: 967-179-8611

Personal Statement

Hawre Jalal, MD, PhD is an Assistant Professor at the Department of Health Policy and Management and a researcher at the Public Health Dynamic Laboratory.  His research focuses on using mathematical modeling, cost-effective analyses and econometrics approaches to address health policy and resource allocation questions.  His current research involves modeling the opioid-epidemic and evaluating its mitigation strategies, and research in disability and aging.  His methodological interests involve value of information analysis, Bayesian calibration and communicating uncertainty to decision makers.

Education

2015 | Stanford University, Stanford, CA | Postdoctoral Fellowship in Health Informatics
2013 | University of Minnesota, Minneapolis, MN | PhD in Health Services Research (Health Decision Sciences)
2008 | University of Minnesota, Minneapolis, MN | Master of Science

Teaching

HPM 2123: Advanced Topics in Decision and Cost-Effectiveness Analyses in Healthcare.  This is an intermediate/advanced level course on using simulation models in health decision sciences and cost-effectiveness analyses.  Simulation models have been used widely in healthcare to address important policy questions, such as cancer screening recommendations and efficient organ allocations among transplant patients.  The emphasis of this course is on teaching skills that are particularly applicable to issues of medical decision making and public health.  Students will learn how to choose a model that best fits their applications.  They will learn how to construct, parameterize, and analyze complex decision models, including calibration and validation. In addition, the student will be introduced to state-of-the art methods in uncertainty analysis, value-of-information analysis, and diagnostic test evaluations. Although advanced topics will be discussed, the focus will not be on programming and mathematical notations will be kept to a minimum.  Proficiency with programming and linear algebra are helpful, but not required. 

Selected Publications

Jalal, H., Buchanich, J. M., Roberts, M. S., Balmert, L. C., Zhang, K., & Burke, D. S. (2018). Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016. Science, 361(6408), eaau1184

 

Jutkowitz, Eric, Fernando Alarid-Escudero, Karen M. Kuntz, and Hawre Jalal. "The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Size from a Value of Information Analysis." PharmacoEconomics 37, no. 7 (2019): 871-877.

 

Alarid-Escudero, Fernando, Eva A. Enns, Karen M. Kuntz, Tzeyu L. Michaud, and Hawre Jalal. “Time Traveling Is Just Too Dangerous” but Some Methods Are Worth Revisiting: The Advantages of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier." Value in Health 22, no. 5 (2019): 611-618.

 

Jutkowitz, Eric, Fernando Alarid-Escudero, Karen M. Kuntz, and Hawre Jalal. "The Curve of Optimal Sample Size (COSS): A Graphical Representation of the Optimal Sample Size from a Value of Information Analysis." PharmacoEconomics 37, no. 7 (2019): 871-877.

 

Jalal, H., & Alarid-Escudero, F. (2018). A Gaussian approximation approach for value of information analysis. Medical Decision Making, 38(2), 174-188.

 

Jutkowitz E, Alarid-Escudero F, Choi H, Kuntz K, Jalal H. Value of information analyses of gout therapies: Using a meta-modeling approach. PharmacoEconomics. In Press (2017).
 

Jalal, H., Pechlivanoglou, P., Krijkamp, E., Alarid-Escudero, F., Enns, E., & Hunink, M. M. (2017). An Overview of R in Health Decision Sciences. Medical Decision Making.

 
Chen, B. K., Jalal, H., Hashimoto, H., Suen, S. C., Eggleston, K., Hurley, M., Bhattacharya, J. Forecasting Trends in Disability in a Super-Aging Society: Adapting the Future Elderly Model to Japan. The Journal of the Economics of Ageing. 2016. Accepted, and National Bureau of Economic Research (No. w21870).

 

Jalal, H., O'Dell, J. R., Bridges, S. L., Cofield, S., Curtis, J. R., Mikuls, T. R., Moreland, L. W., Michaud, K. Cost-Effectiveness of Triple Therapy versus Etanercept Plus Methotrexate in Early Aggressive Rheumatoid Arthritis. Arthritis care & research. 2016.

 

Michaud, T. L., Abraham, J., Jalal, H. J., Luepker, R. V., Duval, S., & Hirsch, A. T.. Cost-effectiveness of a statewide campaign to promote aspirin use for primary prevention of cardiovascular disease. Journal of the American Heart Association. 2015. 4(12), e002321.

 

Goldhaber-Fiebert J, Jalal H. Some health states are certainly better than others: Using health state rank order to improve probabilistic sensitivity analyses. Medical Decision Making. 2015. 0272989X15605091. 

 

Jalal H, Goldhaber-Fiebert J, Kuntz KM. Computing Expected Value of Partial Sample Information from Probabilistic Sensitivity Analysis Using Linear Regression Metamodeling, Medical Decision Making (Online 2015).

Leung TI, Jalal HJ, Zulman DM, Dumontier M, Owens DK, Musen MA, Goldstein MK. “Automating Identification of Multiple Chronic Conditions in Clinical Practice Guideline Recommendations.” JAMIA Proceedings, 2015.

Jalal H, Dowd B, Sainfort F, Kuntz KM. Linear regression metamodeling as a tool to summarize and present simulation model results. Med Decis Making 2013;7:880-890.

Wang SY, Chu H, Shamliyan T, Jalal H, Kuntz KM, Kane R, Virnig B. Network meta-analysis of margin threshold for women with ductal carcinoma in situ. J Natl Cancer Inst. 2012;104:507–516.

Nyman J, Jalal H. Including indirect medical care costs from survivor years of life in economic evaluations. PharmacoEconomics. 2011;29:173-174.

Hawre Jalal