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Stat Med. 2011 May 30;30(12):1419-28. doi: 10.1002/sim.4194. Epub 2011 Jan 26.

A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis.

Author information

1
Econometric Institute, Erasmus University Rotterdam, The Netherlands. tervonen@ese.eur.nl

Abstract

Drug benefit-risk (BR) analysis is based on firm clinical evidence regarding various safety and efficacy outcomes. In this paper, we propose a new and more formal approach for constructing a supporting multi-criteria model that fully takes into account the evidence on efficacy and adverse drug reactions. Our approach is based on the stochastic multi-criteria acceptability analysis methodology, which allows us to compute the typical value judgments that support a decision, to quantify decision uncertainty, and to compute a comprehensive BR profile. We construct a multi-criteria model for the therapeutic group of second-generation antidepressants. We assess fluoxetine and venlafaxine together with placebo according to incidence of treatment response and three common adverse drug reactions by using data from a published study. Our model shows that there are clear trade-offs among the treatment alternatives.

PMID:
21268053
DOI:
10.1002/sim.4194
[Indexed for MEDLINE]

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