21169167

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Subject	Predicate	Object	Context
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pubmed-article:21169167	pubmed:issue	5	lld:pubmed
pubmed-article:21169167	pubmed:dateCreated	2010-12-20	lld:pubmed
pubmed-article:21169167	pubmed:abstractText	Missing data is a common nuisance in eHealth research: it is hard to prevent and may invalidate research findings.	lld:pubmed
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pubmed-article:21169167	pubmed:status	MEDLINE	lld:pubmed
pubmed-article:21169167	pubmed:issn	1438-8871	lld:pubmed
pubmed-article:21169167	pubmed:author	pubmed-author:SchippersGera...	lld:pubmed
pubmed-article:21169167	pubmed:author	pubmed-author:KoeterMaarten...	lld:pubmed
pubmed-article:21169167	pubmed:author	pubmed-author:BlankersMatth...	lld:pubmed
pubmed-article:21169167	pubmed:issnType	Electronic	lld:pubmed
pubmed-article:21169167	pubmed:volume	12	lld:pubmed
pubmed-article:21169167	pubmed:owner	NLM	lld:pubmed
pubmed-article:21169167	pubmed:authorsComplete	Y	lld:pubmed
pubmed-article:21169167	pubmed:pagination	e54	lld:pubmed
pubmed-article:21169167	pubmed:dateRevised	2011-7-26	lld:pubmed
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pubmed-article:21169167	pubmed:year	2010	lld:pubmed
pubmed-article:21169167	pubmed:articleTitle	Missing data approaches in eHealth research: simulation study and a tutorial for nonmathematically inclined researchers.	lld:pubmed
pubmed-article:21169167	pubmed:affiliation	Arkin Academy, Amsterdam, The Netherlands. m.blankers@amc.uva.nl	lld:pubmed
pubmed-article:21169167	pubmed:publicationType	Journal Article	lld:pubmed
pubmed-article:21169167	pubmed:publicationType	Research Support, Non-U.S. Gov't	lld:pubmed
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