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NCJ Number: NCJ 241098     Find in a Library
Title: Decision-Making in Familial Database Searching: KI Alone or Not Alone?
Journal: Forensic Science International: Genetics  Volume:7  Issue:1  Dated:January 2013  Pages:52 to 54
Author(s): David J. Balding ; Michael Krawczak ; John S. Buckleton ; James M. Curran
Date Published: 01/2013
Page Count: 3
Sponsoring Agency: National Institute of Justice
US Department of Justice
Office of Justice Programs
United States of America
Grant Number: 2011-DN-BX-K541
Publisher: http://www.elsevier.com 
Type: Report (Study/Research)
Language: English
Country: United States of America
Annotation: This study considered the comparison of hypotheses "parent-child" or "full siblings" against the alternative of "unrelated" for pairs of individuals for whom DNA profiles are available.
Abstract: The authors considered the comparison of hypotheses "parent-child" or "full siblings" against the alternative of "unrelated" for pairs of individuals for whom DNA profiles are available. This is a situation that occurs repeatedly in familial database searching. A decision rule that uses both the kinship index (KI), also known as the likelihood ratio, and the identity-by-state statistic (IBS) was advocated in a recent report as superior to the use of KI alone. Such proposal appears to conflict with the Neyman-Pearson Lemma of statistics, which states that the likelihood ratio alone provides the most powerful criterion for distinguishing between any two simple hypotheses. The authors therefore performed a simulation study that was two orders of magnitude larger than in the previous report, and their results corroborated the theoretical expectation that KI alone provides a better decision rule than KI combined with IBS. (Published Abstract)
Main Term(s): Forensics/Forensic Sciences
Index Term(s): Investigative techniques ; DNA fingerprinting ; Parentage determination ; NIJ grant-related documents
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=263186

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