Linked Life Data

18613245

Source:http://linkedlifedata.com/resource/pubmed/id/18613245

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
24
pubmed:dateCreated
2008-9-22
pubmed:abstractText
When the outcome of interest is a quantity whose value may be altered through the use of medications, estimation of associations with this outcome is a challenging statistical problem. For participants taking medication the treated value is observed, but the underlying 'untreated' value may be the measure that is truly of interest. Problematically, those with the highest untreated values may have some of the lowest observed measurements due to the effectiveness of medications. In this paper we propose an approach in which we parametrically estimate the underlying untreated variable of interest as a function of the observed treated value, and dose and type of medication. Multiple imputation is used to incorporate the variability induced by the estimation. We show that this approach yields more realistic parameter estimates than other more traditional approaches to the problem and that study conclusions may be altered in a meaningful way by using the imputed values.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-10204197, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-11368702, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-12105129, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-12114036, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-12397006, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-12652555, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-14656957, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-14693930, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-15325833, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-16152135, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-4337382, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-7973239, http://linkedlifedata.com/resource/pubmed/commentcorrection/18613245-9421871
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
Copyright 2008 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5039-53
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Estimation of risk factor associations when the response is influenced by medication use: an imputation approach.
pubmed:affiliation
Department of Biostatistics, University of Washington, Seattle, WA, USA. rmcclell@u.washington.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural