Linked Life Data

18663759

Source:http://linkedlifedata.com/resource/pubmed/id/18663759

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-8-4
pubmed:abstractText
In health policy and economics studies, the incremental cost-effectiveness ratio (ICER) has long been used to compare the economic consequences relative to the health benefits of therapies. Due to the skewed distributions of the costs and ICERs, much research has been done on how to obtain confidence intervals of ICERs, using either parametric or nonparametric methods, with or without the presence of censoring. In this paper, we will examine and compare the finite sample performance of many approaches via simulation studies. For the special situation when the health effect of the treatment is not statistically significant, we will propose a new bootstrapping approach to improve upon the bootstrap percentile method that is currently available. The most efficient way of constructing confidence intervals will be identified and extended to the censored data case. Finally, a data example from a cardiovascular clinical trial is used to demonstrate the application of these methods.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1521-4036
pubmed:author
pubmed:copyrightInfo
(c) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
pubmed:issnType
Electronic
pubmed:volume
50
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
505-14
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A study on confidence intervals for incremental cost-effectiveness ratios.
pubmed:affiliation
Division of Biostatistics and Epidemiology, University of Virginia, P.O. Box 800717, Charlottesville, Virginia 22908, USA. hw3r@virginia.edu
pubmed:publicationType
Journal Article