skip navigation

CrimeSolutions.gov

Add your conference to our Justice Events calendar

PUBLICATIONS

NCJRS Abstract

The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

How to Obtain Documents
 
NCJ Number: NCJ 225053     Find in a Library
Title: Discussion of the Merits of Random Man Not Excluded and Likelihood Ratios
Journal: Forensic Science International: Genetics  Volume:2  Issue:4  Dated:September 2008  Pages:343 to 348
Author(s): John Buckleton ; James Curran
Date Published: 09/2008
Page Count: 6
Publisher: http://www.elsevier.com 
Type: Report (Study/Research)
Language: English
Country: Ireland
Annotation: This paper discusses the merits and the drawbacks of the two approaches used for interpreting a DNA mixture, calculating a “likelihood ratio approach” (LR) or an exclusion probability (“random man not excluded” [RMNE] or its complement “cumulative probability of inclusion” [CPI]).
Abstract: The discussion focuses on a number of differences that have been identified and used to argue for or against each method. The two issues regarding RMNE are whether it returns a statistic that cannot be interpreted directly in the context of a court case, as well as whether it wastes information and hence is less powerful. One issue discussed regarding LRs is whether they are complex and difficult to phrase, and another issue is whether LRs assume a number of contributors, an assumption that cannot be justified. A third issue regarding LRs is whether they require the development of hypotheses that may be difficult and that may change. A fourth LR issue discussed is whether there are mixtures that are too complex for the LR method to interpret. After analyzing each of these issues, the paper concludes that only two of the adverse claims against LRs and RMNE have force: LRs are more difficult to present in court; and the RMNE statistic wastes information that should be used. The RMNE methods seek to determine the fraction of the population that would not be excluded as a contributor to the crime-scene stain. Typical applications of the LR method assume a number of contributors to the mixture and make use of the profiles of persons who can be safely assumed to be in the mixture (conditioning profiles) and always make use of the genotype of the profile of interest (usually the suspect). 18 references and appended details of the RMNE calculation
Main Term(s): Criminology
Index Term(s): Suspect identification ; Comparative analysis ; Forensics/Forensic Sciences ; Investigative techniques ; DNA fingerprinting
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=247031

* A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's web site is provided.