Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2004-5-28
pubmed:abstractText
Since many health data are unavailable at the county level, policymakers sometimes rely on state-level datasets to understand the health needs of their communities. This can be accomplished using small-area estimation techniques. However, it is unknown which small- area technique produces the most valid and precise results.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0749-3797
pubmed:author
pubmed:issnType
Print
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
453-60
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Comparison of small-area analysis techniques for estimating county-level outcomes.
pubmed:affiliation
Department of Community Medicine, Mercer University School of Medicine, Macon, Georgia 31207, USA. haomia@yahoo.com
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.