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pubmed-article:21402291pubmed:abstractTextStandard approaches to estimation of Markov models with data from randomized controlled trials tend either to make a judgment about which transition(s) treatments act on, or they assume that treatment has a separate effect on every transition. An alternative is to fit a series of models that assume that treatment acts on specific transitions. Investigators can then choose among alternative models using goodness-of-fit statistics. However, structural uncertainty about any chosen parameterization will remain and this may have implications for the resulting decision and the need for further research.lld:pubmed
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pubmed-article:21402291pubmed:authorpubmed-author:PriceMalcolm...lld:pubmed
pubmed-article:21402291pubmed:copyrightInfoCopyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.lld:pubmed
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pubmed-article:21402291pubmed:articleTitleModel averaging in the presence of structural uncertainty about treatment effects: influence on treatment decision and expected value of information.lld:pubmed
pubmed-article:21402291pubmed:affiliationSchool of Social and Community-Based Medicine, University of Bristol, Bristol, UK. Malcolm.price@bristol.ac.uklld:pubmed
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