Linked Life Data

12150595

Source:http://linkedlifedata.com/resource/pubmed/id/12150595

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2002-8-1
pubmed:abstractText
When choosing between mutually exclusive treatment options, it is common to construct a cost-effectiveness frontier on the cost-effectiveness plane that represents efficient points from among the treatment choices. Treatment options internal to the frontier are considered inefficient and are excluded either by strict dominance or by appealing to the principle of extended dominance. However, when uncertainty is considered, options excluded under the baseline analysis may form part of the cost-effectiveness frontier. By adopting a Bayesian approach, where distributions for model parameters are specified, uncertainty in the decision concerning which treatment option should be implemented is addressed directly. The approach is illustrated using an example from a recently published cost-effectiveness analysis of different possible treatment strategies for gastroesophageal reflux disease. It is argued that probabilistic analyses should be encouraged because they have potential to quantify the strength of evidence in favor of particular treatment choices.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0272-989X
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
290-308
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:articleTitle
Probabilistic analysis of cost-effectiveness models: choosing between treatment strategies for gastroesophageal reflux disease.
pubmed:affiliation
Health Economics Research Centre, University of Oxford, Institute of Health Sciences, Headington, United Kingdom. andrew.briggs@ihs.ox.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't