Cost-effectiveness ratio for comparing social and health policies

• Authors: Carlotta Galeone , Angiola Pollastri
• Languages of publication: EN

Abstracts

EN

The analysis of the incremental cost-effectiveness ratio (ICER) is an important part of the social and health decision-making process, because ICER is used to obtain simultaneous information on the cost and effectiveness of a new intervention when compared to another one. Despite the increasing use of the ICER, studies on its statistical methodology have still not been sufficiently developed. In particular, the calculation of the confidence interval for the ICER is fundamental to take into account the uncertainty due to differences in samples. In this paper, a new parametric technique for the construction of confidence intervals for the ICER is proposed. It is based on the distribution of the ratio of two correlated normal variables. The method discussed has always existed, despite the degenerate cases of the classical parametric method proposed by Fieller, for which the classical region is not an interval. The computation of the confidence intervals proposed in the present paper may also be achieved in a feasible way.

Keywords

EN

incremental cost-effectiveness ratio; distribution of the ratio of two correlated normal r.v.; confidence intervals for the ratio

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Śląski Przegląd Statystyczny
• Year: 2013
• Issue: 11(17)
• Pages: 123-131

Dates

published

2013

Contributors

author

Carlotta Galeone

• Università degli Studi di Milano

author

Angiola Pollastri

• Università degli Studi di Milano-Bicocca

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Identifiers

ISSN

1644-6739