Linked Life Data

21402291

Source:http://linkedlifedata.com/resource/pubmed/id/21402291

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2011-3-15
pubmed:abstractText
Standard 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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1524-4733
pubmed:author
pubmed:copyrightInfo
Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
205-18
pubmed:meshHeading
pubmed:articleTitle
Model averaging in the presence of structural uncertainty about treatment effects: influence on treatment decision and expected value of information.
pubmed:affiliation
School of Social and Community-Based Medicine, University of Bristol, Bristol, UK. Malcolm.price@bristol.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't