Estimating the expected value of partial perfect information: a review of methods
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DOI: 10.1007/s10198-007-0069-y
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References listed on IDEAS
- Andrew M. Jones (ed.), 2006. "The Elgar Companion to Health Economics," Books, Edward Elgar Publishing, number 3572.
- Karl Claxton & John Posnett, "undated". "An Economic Approach to Clinical Trial Design and Research Priority Setting," Discussion Papers 96/19, Department of Economics, University of York.
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- Elizabeth Fenwick & Karl Claxton & Mark Sculpher & Andrew Briggs, 2000. "Improving the efficiency and relevance of health technology assessent: the role of iterative decision analytic modelling," Working Papers 179chedp, Centre for Health Economics, University of York.
- K. Claxton & P. J. Neumannn & S. S. Araki & M. C. Weinstein, "undated". "Bayesian Value-of-Information Analysis: An Application to a Policy Model of Alzheimer's Disease," Discussion Papers 00/39, Department of Economics, University of York.
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Cited by:
- Hawre Jalal & Bryan Dowd & François Sainfort & Karen M. Kuntz, 2013. "Linear Regression Metamodeling as a Tool to Summarize and Present Simulation Model Results," Medical Decision Making, , vol. 33(7), pages 880-890, October.
- Jeffrey, Scott R. & Pannell, David J., 2013. "Economics of Prioritising Environmental Research: An Expected Value of Partial Perfect Information (EVPPI) Framework," Working Papers 144944, University of Western Australia, School of Agricultural and Resource Economics.
- Fernando Antoñanzas & Roberto Rodríguez-Ibeas & Carmelo Juárez-Castelló, 2012. "Coping with uncertainty on health decisions: assessing new solutions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 375-378, August.
- Carlo Drago & Matteo Ruggeri, 2019. "Setting research priorities in the field of emergency management: which piece of information are you willing to pay more?," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2103-2115, July.
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Keywords
Economic evaluation; Value of information; Uncertainty;All these keywords.
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