Linked Life Data

20473207

Source:http://linkedlifedata.com/resource/pubmed/id/20473207

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6 Suppl
pubmed:dateCreated
2010-5-20
pubmed:abstractText
An evaluation of the effect of a healthcare intervention (or an exposure) must consider multiple possible outcomes, including the primary outcome of interest and other outcomes such as adverse events or mortality. The determination of the likelihood of benefit from an intervention, in the presence of other competing outcomes, is a competing risks problem. Although statistical methods exist for quantifying the probability of benefit from an intervention while accounting for competing events, these methods have not been widely adopted by clinical researchers.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1537-1948
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
48
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S96-105
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Evaluating health outcomes in the presence of competing risks: a review of statistical methods and clinical applications.
pubmed:affiliation
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. rvaradhan@jhmi.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review