Linked Life Data

11778572

Source:http://linkedlifedata.com/resource/pubmed/id/11778572

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2002-1-7
pubmed:abstractText
Statistics (i.e., sensitivity, specificity, hit rates, positive and negative predictive values, odds ratios, and likelihood ratios) that best describe a diagnostic test's ability to classify persons as either "impaired" or "normal," but that are not commonly reported in neuropsychological research, are reviewed. These statistics are applied to Mayo Cognitive Factor Scale scores (MCFS; Smith et al., 1994) to demonstrate information that can be acquired about the diagnostic capabilities of cognitive tests as they are commonly used in clinical settings. Multivariate analyses then generated a statistical model that combines MCFS scores and improves on the diagnostic capabilities of the individual MCFS scores. This model enjoys better diagnostic power than individual scores. It establishes that cognitive testing that uses multiple measures is very good at differentiating normal from impaired cognitive states. Information is also provided that helps clinicians quantify a person's risk for cognitive impairment based on specific cognitive test score(s).
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1385-4046
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
114-24
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Understanding the diagnostic capabilities of cognitive tests.
pubmed:affiliation
Department of Psychiatry and Psychology, Mayo Foundation, Rochester, MN, USA. ivnik.robert@mayo.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.