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Bayesian models for cost-effectiveness analysis in the presence of structural zero costs.

Baio, G; (2014) Bayesian models for cost-effectiveness analysis in the presence of structural zero costs. Stat Med , 33 (11) pp. 1900-1913. 10.1002/sim.6074. Green open access

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Abstract

Bayesian modelling for cost-effectiveness data has received much attention in both the health economics and the statistical literature, in recent years. Cost-effectiveness data are characterised by a relatively complex structure of relationships linking a suitable measure of clinical benefit (e.g. quality-adjusted life years) and the associated costs. Simplifying assumptions, such as (bivariate) normality of the underlying distributions, are usually not granted, particularly for the cost variable, which is characterised by markedly skewed distributions. In addition, individual-level data sets are often characterised by the presence of structural zeros in the cost variable. Hurdle models can be used to account for the presence of excess zeros in a distribution and have been applied in the context of cost data. We extend their application to cost-effectiveness data, defining a full Bayesian specification, which consists of a model for the individual probability of null costs, a marginal model for the costs and a conditional model for the measure of effectiveness (given the observed costs). We presented the model using a working example to describe its main features. © 2013 The authors. Statistics in Medicine published by John Wiley & Sons, Ltd.

Type: Article
Title: Bayesian models for cost-effectiveness analysis in the presence of structural zero costs.
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/sim.6074
Publisher version: http://dx.doi.org/10.1002/sim.6074
Language: English
Additional information: © 2013 The Authors. Statistics in Medicine published by John Wiley & Sons, Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Keywords: Bayesian mixture models, cost-effectiveness models, zero costs
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1402935
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