Linked Life Data

18314933

Source:http://linkedlifedata.com/resource/pubmed/id/18314933

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
18
pubmed:dateCreated
2008-7-14
pubmed:abstractText
In studies of environmental effects on human health outcomes, it is often difficult to assess the effects of a group of exposure variables when the individual exposures do not appear to have statistically significant effects. To address this situation, we propose a method of U-scores applied to subsets of multivariate data. We illustrate the usefulness of this approach by applying it to data collected as part of a study on the effects of metal exposure on human semen parameters. In this analysis, profiles (pairs) of metals containing copper and/or manganese were negatively correlated with total motile sperm and profiles containing copper were negatively correlated with sperm morphology; profiles containing selenium and chromium were positively correlated with total motile sperm.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
2008 John Wiley & Sons, Ltd
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3503-14
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
An application of multivariate ranks to assess effects from combining factors: metal exposures and semen analysis outcomes.
pubmed:affiliation
Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural