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A bayesian semi-parametric approach for cost-effectiveness analysis in health economics

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  • Caterina Conigliani
  • Andrea Tancredi

Abstract

We consider the problem of assessing new and existing technologies for their cost-effectiveness in the case where data on both costs and efficacy are available from a clinical trial, and we address it by means of the cost-effectiveness acceptability curve in the simple case where efficacy is measured as a binary outcome. We consider a Bayesian approach, and in recognising that cost data usually exhibit highly skew, heavy-tailed and, possibly multi-modal distributions, we introduce a model for costs composed of a piecewise constant density up to an unknown endpoint, and a generalised Pareto distribution for the remaining tail.

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Bibliographic Info

Paper provided by Department of Economics - University Roma Tre in its series Departmental Working Papers of Economics - University 'Roma Tre' with number 0046.

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Length: 11
Date of creation: Aug 2005
Date of revision:
Handle: RePEc:rtr:wpaper:0046

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Related research

Keywords: Healthcare cost data; cost-effectiveness analysis; mixture models; semiparametric modelling.;

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Cited by:
  1. Caterina Conigliani & Andrea Tancredi, 2006. "Comparing parametric and semi-parametric approaches for bayesian cost-effectiveness analyses in health economics," Departmental Working Papers of Economics - University 'Roma Tre' 0064, Department of Economics - University Roma Tre.
  2. Caterina Conigliani & Andrea Tancredi, 2009. "A Bayesian model averaging approach for cost-effectiveness analyses," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 807-821.
  3. Caterina Conigliani, 2008. "A bayesian model averaging approach with non-informative priors for cost-effectiveness analyses in health economics," Departmental Working Papers of Economics - University 'Roma Tre' 0094, Department of Economics - University Roma Tre.

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