Regression methods for covariate adjustment and subgroup analysis for non-censored cost-effectiveness data
Article first published online: 15 DEC 2003
Copyright © 2003 John Wiley & Sons, Ltd.
Volume 13, Issue 5, pages 461–475, May 2004
How to Cite
Willan, A. R., Briggs, A. H. and Hoch, J. S. (2004), Regression methods for covariate adjustment and subgroup analysis for non-censored cost-effectiveness data. Health Econ., 13: 461–475. doi: 10.1002/hec.843
- Issue published online: 29 APR 2004
- Article first published online: 15 DEC 2003
- Manuscript Accepted: 23 MAY 2003
- Manuscript Received: 26 JUL 2002
- cost-effectiveness analysis;
- clinical trials;
- covariate adjustment
The current interest in undertaking cost-effectiveness analyses alongside clinical trials has lead to the increasing availability of patient-level data on both the costs and effectiveness of intervention. In a recent paper, we show how cost-effectiveness analysis can be undertaken in a regression framework. In the current paper we develop a direct regression approach to cost-effectiveness analysis by proposing the use of a system of seemingly unrelated regression equations to provide a more general method for prognostic factor adjustment with emphasis on sub-group analysis. This more general method can be used in either an incremental cost-effectiveness or an incremental net-benefit approach, and does not require that the set of independent variables for costs and effectiveness be the same. Furthermore, the method can exhibit efficiency gains over unrelated ordinary least squares regression. Copyright © 2003 John Wiley & Sons, Ltd.