Linked Life Data

19745430

Source:http://linkedlifedata.com/resource/pubmed/id/19745430

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-9-11
pubmed:abstractText
The aim of this paper was to assess relationship between possible endemic nephropathy (EN) markers visually by the CoPlot methodology, and to illustrate this promising data analysis approach. From 912 screened persons in 3 Croatian endemic villages, 25 persons were diagnosed as confirmed EN patients, 371 as non-EN, and the remainder were classified as suspected of having EN, or at risk. Data on 25 confirmed EN patients were matched with appropriate non-EN examinees. All records with missing data were excluded, resulting in 35 subjects with complete data on the 13 key EN variables for CoPlot mapping. CoPlot solution met the accepted goodness of fit measure thresholds. Result showed relationship between EN markers, identifying some nearly duplicated variables, and possible outliers needing some subsequent analysis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
150
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
836-40
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Visual assessment of endemic nephropathy markers relationship.
pubmed:affiliation
Andrija Stampar School of Public Health, Medical School, University of Zagreb, 10000 Zagreb, Croatia. Zdenko.Sonicki@snz.hr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't