15386709

Source:http://linkedlifedata.com/resource/pubmed/id/15386709

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0220922, umls-concept:C0282441, umls-concept:C0870071, umls-concept:C1556038, umls-concept:C2718044
pubmed:issue	12
pubmed:dateCreated	2004-12-1
pubmed:abstractText	To document which established criteria for logistic regression modeling researchers consider when using propensity scores in observational studies.
pubmed:commentsCorrections	http://linkedlifedata.com/resource/pubmed/commentcorrection/15386709-15386710
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9208369
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Dec
pubmed:issn	1053-8569
pubmed:author	pubmed-author:HumeAnne LAL, pubmed-author:LapaneKate LKL, pubmed-author:MorVincentV, pubmed-author:ToledanoAlicia YAY, pubmed-author:WeitzenSherryS
pubmed:copyrightInfo	Copyright 2004 John Wiley & Sons, Ltd.
pubmed:issnType	Print
pubmed:volume	13
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	841-53
pubmed:meshHeading	pubmed-meshheading:15386709-Bias (Epidemiology), pubmed-meshheading:15386709-Biomedical Research, pubmed-meshheading:15386709-Logistic Models, pubmed-meshheading:15386709-Models, Statistical, pubmed-meshheading:15386709-Research Design
pubmed:year	2004
pubmed:articleTitle	Principles for modeling propensity scores in medical research: a systematic literature review.
pubmed:affiliation	Department of Community Health, Brown Medical School, Providence, RI 02912, USA. Sherry_Weitzen@Brown.edu
pubmed:publicationType	Journal Article, Review