Linked Life Data

14652864

Source:http://linkedlifedata.com/resource/pubmed/id/14652864

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
23
pubmed:dateCreated
2003-12-3
pubmed:abstractText
In some studies of chronic viral infections where the objective is to estimate the distributions of time until viral eradication and viral resistance to treatment, patients must have treatment terminated in order to assess eradication status. Such patients then have their viral load continually monitored during a post-treatment period. If no virus is detected during this period, viral eradication is presumed to have occurred whereas detection of virus is interpreted to mean that the virus had been suppressed but not eradicated prior to treatment interruption. If the post-treatment period is long, as would be the case with diseases such as hepatitis C and HIV, there will be patients who have not completed the post-treatment period by the time the data are analysed. This paper proposes non-parametric and semi-parametric methods to incorporate partial post-treatment data in the estimation of the subdistributions of the time until eradication and resistance. The new methods extend previous methods for the analysis of eradication studies that do not account for incomplete post-treatment information, and are illustrated with data from a recent hepatitis C clinical trial.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
Copyright 2003 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3611-28
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Use of incomplete post-treatment data in the analysis of viral eradication studies.
pubmed:affiliation
Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, T4E Boston, MA 02118, USA. dmcheng@bu.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.