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Title: Using covariates to reduce uncertainty in the economic evaluation of clinical trial data
Authors: Vázquez Polo, Francisco José 
Negrín Hernández, Miguel Ángel 
González Lopez-Valcarcel, Beatriz 
UNESCO Clasification: 531207 Sanidad
Keywords: Economía de la salud
Modelos económetricos
Issue Date: 2005
Publisher: 1057-9230
Journal: Health Economics 
Abstract: As part of their practice, policymakers have to make economic evaluations using clinical trial data. Recent interest has been expressed in determining how cost-effectiveness analysis can be undertaken in a regression framework. In this respect, published research basically provides a general method for prognostic factor adjustment in the presence of imbalance, emphasizing sub-group analysis. In this paper, we present an alternative method from a Bayesian approach. We propose the use of covariates in Bayesian health technology assessment in order to reduce uncertainty about the effect of treatments. We show its advantages by comparison with another published method that do not adjust for covariates using simulated data.
ISSN: 1057-9230
DOI: 10.1002/hec.947
Source: Health Economics[ISSN 1057-9230],v. 14, p. 545-557
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