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Addressing uncertainty in medical cost-effectiveness analysis: Implications of expected utility maximization for methods to perform sensitivity analysis and the use of cost-effectiveness analysis to set priorities for medical research

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  • Meltzer, David

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  • Meltzer, David, 2001. "Addressing uncertainty in medical cost-effectiveness analysis: Implications of expected utility maximization for methods to perform sensitivity analysis and the use of cost-effectiveness analysis to s," Journal of Health Economics, Elsevier, vol. 20(1), pages 109-129, January.
    • Handle: RePEc:eee:jhecon:v:20:y:2001:i:1:p:109-129
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    8. Maiwenn J. Al & Ben A. Van Hout & Bowine C. Michel & Frans F.H. Rutten, 1998. "Sample size calculation in economic evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 7(4), pages 327-335, June.
    9. Claxton, Karl, 1999. "The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies," Journal of Health Economics, Elsevier, vol. 18(3), pages 341-364, June.
    10. James C. Felli & Gordon B. Hazen, 1998. "Sensitivity Analysis and the Expected Value of Perfect Information," Medical Decision Making, , vol. 18(1), pages 95-109, January.
    11. Aaron A. Stinnett & A. David Paltiel, 1997. "Estimating CE Ratios under Second-order Uncertainty," Medical Decision Making, , vol. 17(4), pages 483-489, October.
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    1. Schulenburg J.-Matthias Graf von der & Vauth Christoph, 2007. "Nach welchen ökonomischen Methoden sollten Gesundheitsleistungen in Deutschland evaluiert werden? / According to Which Economic Methods Should Health Care Services Become Evaluated in Germany?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(5-6), pages 787-806, October.
    2. Charles F Manski, 2007. "Adaptive Minimax-Regret Treatment Choice, with Application to Drug Approval," Levine's Working Paper Archive 122247000000001404, David K. Levine.
    3. Charles F. Manski, 2022. "Patient‐centered appraisal of race‐free clinical risk assessment," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2109-2114, October.
    4. Alan Brennan & Samer Kharroubi & Anthony O'Hagan & Jim Chilcott, 2007. "Calculating Partial Expected Value of Perfect Information via Monte Carlo Sampling Algorithms," Medical Decision Making, , vol. 27(4), pages 448-470, July.
    5. Samer A. Kharroubi & Alan Brennan & Mark Strong, 2011. "Estimating Expected Value of Sample Information for Incomplete Data Models Using Bayesian Approximation," Medical Decision Making, , vol. 31(6), pages 839-852, November.
    6. Anirban Basu & Josh J. Carlson & David L. Veenstra, 2016. "A Framework for Prioritizing Research Investments in Precision Medicine," Medical Decision Making, , vol. 36(5), pages 567-580, July.
    7. Alan Brennan & Samer A. Kharroubi, 2007. "Expected value of sample information for Weibull survival data," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1205-1225, November.
    8. Lotte Steuten & Gijs Wetering & Karin Groothuis-Oudshoorn & Valesca Retèl, 2013. "A Systematic and Critical Review of the Evolving Methods and Applications of Value of Information in Academia and Practice," PharmacoEconomics, Springer, vol. 31(1), pages 25-48, January.
    9. Rafael Almeida da Matta & Mônica Viegas Andrade, 2006. "Avaliação Econômica Do Impacto Do Programa De Controle De Homicídios Fica Vivo," Anais do XII Semin·rio sobre a Economia Mineira [Proceedings of the 12th Seminar on the Economy of Minas Gerais], in: João Antonio de Paula & et alli (ed.),Anais do XII Seminário sobre a Economia Mineira [Proceedings of the 12th Seminar on the Economy of Minas Gerais], Cedeplar, Universidade Federal de Minas Gerais.
    10. Oakley, Jeremy E. & Brennan, Alan & Tappenden, Paul & Chilcott, Jim, 2010. "Simulation sample sizes for Monte Carlo partial EVPI calculations," Journal of Health Economics, Elsevier, vol. 29(3), pages 468-477, May.
    11. Anirban Basu & David Meltzer, 2012. "Private Manufacturers’ Thresholds to Invest in Comparative Effectiveness Trials," PharmacoEconomics, Springer, vol. 30(10), pages 859-868, October.
    12. Sharma, Rajiv & Stano, Miron, 2010. "Implications of an economic model of health states worse than dead," Journal of Health Economics, Elsevier, vol. 29(4), pages 536-540, July.
    13. Natalia Olchanski & Joshua T. Cohen & Peter J. Neumann & John B. Wong & David M. Kent, 2017. "Understanding the Value of Individualized Information: The Impact of Poor Calibration or Discrimination in Outcome Prediction Models," Medical Decision Making, , vol. 37(7), pages 790-801, October.
    14. Fleurence, Rachael L. & Torgerson, David J., 2004. "Setting priorities for research," Health Policy, Elsevier, vol. 69(1), pages 1-10, July.
    15. Charles F. Manski, 2016. "Credible Ecological Inference for Personalized Medicine: Formalizing Clinical Judgment," NBER Working Papers 22643, National Bureau of Economic Research, Inc.
    16. Brennan, Alan & Kharroubi, Samer A., 2007. "Efficient computation of partial expected value of sample information using Bayesian approximation," Journal of Health Economics, Elsevier, vol. 26(1), pages 122-148, January.
    17. Rachael L. Fleurence, 2007. "Setting priorities for research: a practical application of 'payback' and expected value of information," Health Economics, John Wiley & Sons, Ltd., vol. 16(12), pages 1345-1357.

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