Linked Life Data

12689790

Source:http://linkedlifedata.com/resource/pubmed/id/12689790

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2003-4-11
pubmed:abstractText
The role of graphical models in the assessment of transfer evidence is described with particular reference to the role of cross-transfer evidence. The issues involved in the determination of factors (nodes), associations (links) and probabilities to be included are discussed. Four types of subjective probabilities are of particular interest: those for transfer, persistence and recovery; innocent acquisition; relevance; innocent presence. Examples are given to illustrate the roles of various aspects of the suspect's and victim's lifestyle and the investigation of the evidence found on the suspect and victim in assessing the probability of ultimate issue, that the suspect committed the crime.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0040-5809
pubmed:author
pubmed:issnType
Print
pubmed:volume
63
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
179-90
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
A graphical model for the evaluation of cross-transfer evidence in DNA profiles.
pubmed:affiliation
School of Mathematics, The University of Edinburgh, King's Buildings, Mayfield Road, Edinburgh EH9 3JZ, Scotland, UK. c.g.g.aitken@ed.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies