We present a general Bayesian framework for cost-effectiveness analysis (CE
A) from clinical trial data. This framework allows for very flexible modell
ing of both cost and efficacy related trial data. A common CEA technique is
established for this wide class of models through linking mean efficacy an
d mean cost to the parameters of any given model.
Examples are given in which efficacy may be measured as a continuous, binar
y, ordinal or time-to-event outcome, and in which costs are modelled as dis
tributed normally, log-normally, as a mixture or non-parametrically.
A case study is presented, illustrating the methodology and illuminating th
e role of prior information. Copyright (C) 2001 John Wiley & Sons, Ltd.