Source:http://linkedlifedata.com/resource/pubmed/id/17060215
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2006-10-24
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pubmed:abstractText |
Underlying or untreated blood pressure (BP) is often an outcome of interest, but is unobservable when study participants are on anti-hypertensive medications. Untreated levels are not missing at random but would be higher among those on such medication. In such cases, standard methods of analysis may lead to bias.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1740-7745
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
3
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
411-20
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pubmed:meshHeading |
pubmed-meshheading:17060215-Blood Pressure,
pubmed-meshheading:17060215-Clinical Trials as Topic,
pubmed-meshheading:17060215-Data Interpretation, Statistical,
pubmed-meshheading:17060215-Humans,
pubmed-meshheading:17060215-Hypertension,
pubmed-meshheading:17060215-Models, Statistical,
pubmed-meshheading:17060215-Normal Distribution,
pubmed-meshheading:17060215-Probability,
pubmed-meshheading:17060215-Research Design
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pubmed:year |
2006
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pubmed:articleTitle |
Imputation strategies for blood pressure data nonignorably missing due to medication use.
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pubmed:affiliation |
Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA ncook@rics.bwh.harvard.edu
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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