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David J. Vanness, Ph.D. has been Assistant Professor of
Population Health Sciences in the University of Wisconsin School of Medicine and
Public Health since July, 2003. He received an A.B. in economics and
government, summa cum laude, from Georgetown University in 1993 and a
Ph.D. in economics from the University of Wisconsin, Madison in 2000. From 1999
to 2003, he was an Associate/Senior Associate Consultant in the Department of
Health Sciences Research at the Mayo Clinic in Rochester, Minnesota. Prof.
Vanness’ current research focuses on the role that information and uncertainty
play in health care decisions at both the "clinical" level (medical
decision-making) and "population" level (health care policy; technology
assessment and adoption). He applies computational methods to a variety of
problems, ranging from using Bayesian models to inform choice of chemotherapy
regimens for advanced colorectal cancer based on genetic polymorphism profiles
to using “integrative biology” simulations to determine optimal interventions
for osteoporosis at the individual and population level.
Research Interests
The core of Prof. Vanness' research program focuses on
developing methods for integrating multiple sources of evidence and alternative
sets of decision-maker preferences into models used for health care evaluation.
Much of this work has focused on two clinical areas: colorectal cancer and
osteoporosis. In his role as a co-investigator of the National CT Colonography
Trial, Prof. Vanness is currently collaborating with investigators from the
National Cancer Institute CISNET cancer simulation research program to evaluate
the cost-effectiveness of virtual colonoscopy. Prof. Vanness also is developing
advanced Bayesian econometric methods to use pharmacogenomics data to optimize
choice of adjuvant chemotherapy for advanced colorectal cancer. Prof. Vanness
is the principal investigator of a subcontract to develop a complex
biology-based simulation for economic evaluation of osteoporosis prevention, in
which osteoporosis outcomes are the result of complex interactions of stochastic
biological sub-processes, as well as other processes affecting cost and quality
of life. Prof. Vanness is also developing methods for evaluating health care
interventions with heterogeneous treatment effects when decision-makers have
preferences for uncertain outcomes that are inconsistent with expected utility
maximization. He is currently pilot-testing new methods for identifying
attitudes toward uncertainty in a population of patients with prostate cancer.
Affiliations/Associations: Paul P. Carbone
Comprehensive Cancer Center, University of Wisconsin, Madison, Member, Cancer
Control Program
Paul P. Carbone Comprehensive Cancer Center, University of
Wisconsin, Madison, Affiliate, Cancer Health Disparities Initiative
Institute for Clinical and Translational Research,
University of Wisconsin, Madison, Member, Community Academic Partnerships
Program Steering Committee
Center for Demography and Ecology, University of Wisconsin,
Madison, Affiliate
Department of Health Sciences Research, Mayo Clinic,
Rochester, Minnesota, Research Collaborator
Cancer Intervention and Surveillance Modeling Network (CISNET),
National Cancer Institute, Bethesda, Maryland, Affiliate Member, Colorectal
Cancer Working Group
American College of Radiology Imaging Network,
Philadelphia, Pennsylvania, Member, Outcomes and Economics Subcommittee
Professional Organizations:
American Economics Association
International Health Economics Association
American Society of Health Economists
AcademyHealth
International Society for Pharmacoeconomics and Outcomes Research
Society for Medical Decision Making
American Society for Bone and Mineral Research
International Society for Bayesian Analysis
Recent Honors/Awards:
Co-recipient, Association for Health Services Research
Award, Best Pre- and Post-Doctoral Research Poster , 1999
Co-finalist, International Health Economics Association
Graduate Student Research Competition, 1999
Wisconsin Alumni Research Foundation Fellowship, 1994
Representative Publications: Vanness DJ and
Kim WR. “Empirical Modeling, Simulation and Uncertainty Analysis Using Markov
Chain Monte Carlo: Ganciclovir Prophylaxis in Liver Transplantation,” Health
Economics, 2002: 11(6), 551-566.
Vanness DJ and Wolfe BL. “Government Mandates and
Employer-Sponsored Health Insurance: Who is Still Not Covered?” International
Journal of Health Care Finance and Economics, 2002: 2(2), 99-135.
Gluecker TM, Johnson
CD, Wilson LA, MacCarty RL, Welch TJ, Vanness DJ and Ahlquist DA.
“Extracolonic Findings at CT Colonography: Evaluation of Prevalence and Cost in
a Screening Population,” Gastroenterology, 2003: 124(4), 911-916.
Vanness DJ. “A Structural Econometric Model of
Family Valuation and Choice of Employer-Sponsored Health Insurance” Health
Economics, 2003: 12, 771-790.
Huddleston JM. Long KH. Naessens JM. Vanness D.
Larson D. Trousdale R. Plevak M. Cabanela M. Ilstrup D. Wachter RM. Hospitalist-Orthopedic
Team Trial Investigators. Medical and surgical comanagement after elective hip
and knee arthroplasty: a randomized, controlled trial. Annals of Internal
Medicine, 2004: 141(1):28-38.
Vanness DJ and Tosteson ANA. Estimating the
Opportunity Costs of Osteoporosis in the United States. Topics in Geriatric
Rehabilitation, 2005: 21(1):4-16.
Vanness DJ. Tosteson ANA. Gabriel SE. Melton LJ
3rd. The need for microsimulation to evaluate osteoporosis interventions.
Osteoporos Int, 2005:16(4):353-8.
Phy MP, Vanness DJ, Melton LJ 3rd, et
al. Effects of a hospitalist model on elderly patients with hip fracture.
Arch Int Med, 2005:165(7):796-801.
Rongey C, Bambha K, Vanness DJ, Pedersen RA,
Malinchoc M, Therneau TM, Dickson ER, Kim WR. Employment and Health Insurance
in Long-Term Liver Transplant Recipients. Am J Transplantation, 2005: 5:
1901-1908.
Naessens JM, Baird MA, Van Houten HK, Vanness DJ,
Campbell CR. Predicting Persistently High Primary Care Use. Annals of Family
Medicine, 2005: 3(4):324-30.
Flynn KE, Smith MA, Vanness D. A typology of preferences
for participation in healthcare decision making. Soc Sci Med. 2006;
63(5):1158-1169.
Vanness DJ and Mullahy J. "Perspectives on Mean-based
Evaluation of Health Care" In: Jones AM (ed), Elgar Companion to Health
Economics, Cheltenham: Edward Elgar Publishing, 2006
Teaching Experience: Course Director, Population
Health Sciences / Industrial and Systems Engineering 875 “Assessment of Medical
Technology” (3 cr.), 2004 Spring, 2005 Fall, 2006 Fall, 2007 Fall
Course Co-Director (with Bobbi Wolfe and John Mullahy),
Economics / Population Health Sciences 845 “Advanced Topics in Public Finance:
Health Economics Seminar” (2 cr.), 2005 Spring, 2006 Spring, 2006 Fall, 2007
Fall
Lecturer (2 lectures; Gordon Ridley, Director),
Population Health Sciences 650 “Introduction to the American Healthcare System”
(3 cr.), 2005 Spring, 2006 Spring, 2007 Spring
Lecturer (2 lectures; John Mullahy, Director), Economics
/ Population Health Sciences 848 “Health Economics” (3 cr.), 2007 Spring
Lecturer (1 lecture; Terry Young and Denny Fryback,
Co-Directors), Population Health Sciences 375 (formerly PHS 650), “Population
Health Sciences, Concepts and Methods” (1 cr.), 2005 Spring, 2006 Spring, 2007
Spring
Lecturer (1 lecture; Vicki Bier, Director), Industrial
and Systems Engineering 320 “Simulation and Probabilistic Modeling” (3cr.), 2007
Spring
Short Course Instructor (with Chris Hollenbeak),
AcademyHealth Annual Research Meeting, “Introduction to Bayesian Methods,” 2006
June, 2007 June
Short Course Instructor (with Bryan Luce and Chris
Hollenbeak), International Society for Pharmacoeconomics and Outcomes Research,
“Bayesian Analysis: Overview,” 2004 May, 2005 May, 2006 May, 2007 May
Contact Information
David J. Vanness, Ph.D.
Department of Population Health Sciences
501 WARF Building
610 Walnut Street
Madison, WI 53726-2397 USA
Phone: (608) 265-8600
Fax: (608) 263-2820
Email: dvanness@wisc.edu
Updated 10/23/07 |
