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Modeling Good Research Practices—Overview

Author

Listed:
  • J. Jaime Caro
  • Andrew H. Briggs
  • Uwe Siebert
  • Karen M. Kuntz

Abstract

Models—mathematical frameworks that facilitate estimation of the consequences of health care decisions—have become essential tools for health technology assessment. Evolution of the methods since the first ISPOR modeling task force reported in 2003 has led to a new task force, jointly convened with the Society for Medical Decision Making, and this series of seven papers presents the updated recommendations for best practices in conceptualizing models; implementing state–transition approaches, discrete event simulations, or dynamic transmission models; dealing with uncertainty; and validating and reporting models transparently. This overview introduces the work of the task force, provides all the recommendations, and discusses some quandaries that require further elucidation. The audience for these papers includes those who build models, stakeholders who utilize their results, and, indeed, anyone concerned with the use of models to support decision making.

Suggested Citation

  • J. Jaime Caro & Andrew H. Briggs & Uwe Siebert & Karen M. Kuntz, 2012. "Modeling Good Research Practices—Overview," Medical Decision Making, , vol. 32(5), pages 667-677, September.
    • Handle: RePEc:sae:medema:v:32:y:2012:i:5:p:667-677
    DOI: 10.1177/0272989X12454577
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    References listed on IDEAS

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    1. Briggs, Andrew & Sculpher, Mark & Claxton, Karl, 2006. "Decision Modelling for Health Economic Evaluation," OUP Catalogue, Oxford University Press, number 9780198526629.
    2. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    3. Uwe Siebert, 2003. "When should decision-analytic modeling be used in the economic evaluation of health care?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 4(3), pages 143-150, September.
    4. Sheldon H. Jacobson & Shane N. Hall & James R. Swisher, 2006. "Discrete-Event Simulation of Health Care Systems," International Series in Operations Research & Management Science, in: Randolph W. Hall (ed.), Patient Flow: Reducing Delay in Healthcare Delivery, chapter 0, pages 211-252, Springer.
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