Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48776
Title: Incorporating patients' characteristics in cost-effectiveness studies with clinical trial data: A flexible Bayesian approach
Authors: Vázquez-Polo, F. J. 
Negrín-Hernández, M. A. 
Issue Date: 2004
Publisher: 1696-2281
Journal: SORT 
Abstract: Most published research on the comparison between medical treatment options merely compares the results (effectiveness and cost) obtained for each treatment group. The present work proposes the incorporation of other patient characteristics into the analysis. Most of the studies carried out in this context assume normality of both costs and effectiveness. In practice, however, the data are not always distributed according to this assumption. Altervative models have to be developed. In this paper, we present a general model of cost-effectiveness, incorporating both binary effectiveness and skewed cost. In a practical application, we compare two highly active antiretroviral treatments applied to asymptomatic HIV patients. We propose a logit model when the effectiveness is measured depending on whether an initial purpose is achieved. For this model, the measure to compare treatments is the difference in the probability of success. Besides, the cost data usually present a right skewing. We propose the use of the log-transformation to carry out the regression model. The three models are fitted demonstrating the advantages of this modelling. The cost-effectiveness acceptability curve is used as a measure for decision-making.
URI: http://hdl.handle.net/10553/48776
ISSN: 1696-2281
Source: SORT[ISSN 1696-2281],v. 28, p. 87-108
Appears in Collections:Artículos
Show full item record

SCOPUSTM   
Citations

3
checked on Dec 4, 2022

Page view(s)

19
checked on Dec 3, 2022

Google ScholarTM

Check


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.