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15386709
Source:
http://linkedlifedata.com/resource/pubmed/id/15386709
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pubmed-article:15386709
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pubmed:Citation
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pubmed-article:15386709
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pubmed-article:15386709
pubmed:issue
12
lld:pubmed
pubmed-article:15386709
pubmed:dateCreated
2004-12-1
lld:pubmed
pubmed-article:15386709
pubmed:abstractText
To document which established criteria for logistic regression modeling researchers consider when using propensity scores in observational studies.
lld:pubmed
pubmed-article:15386709
pubmed:commentsCorrections
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eng
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pubmed-article:15386709
pubmed:citationSubset
IM
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pubmed-article:15386709
pubmed:status
MEDLINE
lld:pubmed
pubmed-article:15386709
pubmed:month
Dec
lld:pubmed
pubmed-article:15386709
pubmed:issn
1053-8569
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pubmed-article:15386709
pubmed:author
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pubmed-article:15386709
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pubmed-author:WeitzenSherry...
lld:pubmed
pubmed-article:15386709
pubmed:author
pubmed-author:ToledanoAlici...
lld:pubmed
pubmed-article:15386709
pubmed:copyrightInfo
Copyright 2004 John Wiley & Sons, Ltd.
lld:pubmed
pubmed-article:15386709
pubmed:issnType
Print
lld:pubmed
pubmed-article:15386709
pubmed:volume
13
lld:pubmed
pubmed-article:15386709
pubmed:owner
NLM
lld:pubmed
pubmed-article:15386709
pubmed:authorsComplete
Y
lld:pubmed
pubmed-article:15386709
pubmed:pagination
841-53
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pubmed-article:15386709
pubmed:meshHeading
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pubmed-article:15386709
pubmed:year
2004
lld:pubmed
pubmed-article:15386709
pubmed:articleTitle
Principles for modeling propensity scores in medical research: a systematic literature review.
lld:pubmed
pubmed-article:15386709
pubmed:affiliation
Department of Community Health, Brown Medical School, Providence, RI 02912, USA. Sherry_Weitzen@Brown.edu
lld:pubmed
pubmed-article:15386709
pubmed:publicationType
Journal Article
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Review
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