EconPapers    
Economics at your fingertips  
 

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

Caterina Conigliani and Andrea Tancredi

No 46, Departmental Working Papers of Economics - University 'Roma Tre' from Department of Economics - University Roma Tre

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.

Keywords: Healthcare cost data; cost-effectiveness analysis; mixture models; semiparametric modelling. (search for similar items in EconPapers)
JEL-codes: C11 (search for similar items in EconPapers)
Pages: 11
Date: 2005-08
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://dipeco.uniroma3.it/public/WP%2046%20Conigliani%20Tancredi%202005.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rtr:wpaper:0046

Access Statistics for this paper

More papers in Departmental Working Papers of Economics - University 'Roma Tre' from Department of Economics - University Roma Tre Via Silvio d'Amico 77, - 00145 Rome Italy. Contact information at EDIRC.
Bibliographic data for series maintained by Telephone for information ().

 
Page updated 2024-09-12
Handle: RePEc:rtr:wpaper:0046