A key tool for assessing the relative cost-effectiveness of two treatments
in health economics is the incremental C/E acceptability curve. We present
Bayesian computations for this curve in the case where data on both costs a
nd efficacy are available from a clinical trial. Analysis is given under va
rious formulations of prior information. A case study is analysed in which
reasonable prior information is shown to strengthen substantially the poste
rior inference, leading to a more conclusive assessment of cost-effectivene
ss. Calculations can be performed using readily available Bayesian software
. Copyright (C) 2001 John Wiley & Sons, Ltd.