Optimal sequential sampling rules for the economic evaluation of health technologies
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References listed on IDEAS
- Jang‐Ting Guo & Alan Krause, 2011.
"Optimal Nonlinear Income Taxation with Habit Formation,"
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Daniele Bregantini & Jacco J.J. Thijssen, 2014. "On a simple quickest detection rule for health-care technology assessment," Discussion Papers 14/01, Department of Economics, University of York.
- Stephen Chick & Martin Forster & Paolo Pertile, 2017.
"A Bayesian decision theoretic model of sequential experimentation with delayed response,"
Journal of the Royal Statistical Society Series B,
Royal Statistical Society, vol. 79(5), pages 1439-1462, November.
- Stephen Chick & Martin Forster & Paolo Pertile, 2015. "A Bayesian Decision-Theoretic Model of Sequential Experimentation with Delayed Response," Discussion Papers 15/09, Department of Economics, University of York.
- Daniele Bregantini, 2014. "Donâ€™t Stop â€™Til You Get Enough: a quickest detection approach to HTA," Discussion Papers 14/04, Department of Economics, University of York.
More about this item
KeywordsCost-effectiveness analysis; Sequential sampling; Dynamic programming;
- I10 - Health, Education, and Welfare - - Health - - - General
- D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2010-12-11 (All new papers)
- NEP-DGE-2010-12-11 (Dynamic General Equilibrium)
- NEP-HEA-2010-12-11 (Health Economics)
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