A bayesian semi-parametric approach for cost-effectiveness analysis in health economics
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.
|Date of creation:||Aug 2005|
|Contact details of provider:|| Postal: Via Silvio d'Amico 77, - 00145 Rome Italy|
Phone: +39 06 57114612
Fax: +39 06 57114771
Web page: http://host.uniroma3.it/dipartimenti/economia/it/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rtr:wpaper:0046. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Telephone for information)
If references are entirely missing, you can add them using this form.