Linked Life Data

18726659

Source:http://linkedlifedata.com/resource/pubmed/id/18726659

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-10-6
pubmed:abstractText
Adherence to medical recommendations is often suboptimal, making examination of adherence data an important scientific concern. Studies that attempt to predict or modify adherence often face the problem that adherence as a dependent variable is complex and non-normally distributed. Traditional statistical approaches to adherence data may mask individual variability that may guide clinician and researcher's development of adherence interventions. In this study, we employ time series analysis to examine adherence patterns objectively in patients with obstructive sleep apnea (OSA). Although treatment adherence is poor in OSA, state-of-the-art adherence monitoring allows a comprehensive examination of objective data.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1532-4796
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
44-53
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Time series analysis of treatment adherence patterns in individuals with obstructive sleep apnea.
pubmed:affiliation
Brown Medical School, Providence, RI, USA. aloiam@njc.org
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural