Linked Life Data

10802336

Source:http://linkedlifedata.com/resource/pubmed/id/10802336

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2000-7-11
pubmed:abstractText
Dependence between the sensitivities or specificities of pairs of tests affects the sensitivity and specificity of tests when used in combination. Compared with values expected if tests are conditionally independent, a positive dependence in test sensitivity reduces the sensitivity of parallel test interpretation and a positive dependence in test specificity reduces the specificity of serial interpretation. We calculate conditional covariances as a measure of dependence between binary tests and show their relationship to kappa (a chance-corrected measure of test agreement). We use published data for toxoplasmosis and brucellosis in swine, and Johne's disease in cattle to illustrate calculation methods and to indicate the likely magnitude of the dependence between serologic tests used for diagnosis and surveillance of animal diseases.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0167-5877
pubmed:author
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
45
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
107-22
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Conditional dependence between tests affects the diagnosis and surveillance of animal diseases.
pubmed:affiliation
Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis 95616, USA. iagardner@ucdavis.edu
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't