Linked Life Data

19583553

Source:http://linkedlifedata.com/resource/pubmed/id/19583553

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-7-8
pubmed:abstractText
Observational studies, administrative database studies, and registries offer a wealth of real-world information, if designed, maintained, and analyzed according to appropriate observational study methodology. This review summarizes basic observational study methods employed in rheumatology and highlights several notable examples. In response to growing interest in real-world effectiveness and safety data, registries are expected to proliferate in the near future. The availability of detailed clinical information in registries coupled with powerful tools for analysis offers promise for timely and accurate information on the safety and effectiveness of rheumatic treatments.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1936-9719
pubmed:author
pubmed:issnType
Print
pubmed:volume
67
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
193-7
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Methods to analyze real-world databases and registries.
pubmed:affiliation
Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA. maradit@mayo.edu
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural