Literature DB >> 20487161

Inclusion probabilities and dropout.

James M Curran1, John Buckleton.   

Abstract

Recent discussions on a forensic discussion group highlighted the prevalence of a practice in the application of inclusion probabilities when dropout is possible that is of significant concern. In such cases, there appears to be an unpublished practice of calculation of an inclusion probability only for those loci at which the profile of interest (hereafter the suspect) is fully included among the alleles present in the crime scene sample and to omit those loci at which the suspect has alleles that are not fully represented among the alleles in the mixture. The danger is that this approach may produce apparently strong evidence against a surprisingly large fraction of noncontributors. In this paper, the risk associated with the approach of ignoring loci with discordant alleles is assessed by simulation.
© 2010 American Academy of Forensic Sciences.

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Year:  2010        PMID: 20487161     DOI: 10.1111/j.1556-4029.2010.01446.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  5 in total

1.  Forensic trace DNA: a review.

Authors:  Roland Ah van Oorschot; Kaye N Ballantyne; R John Mitchell
Journal:  Investig Genet       Date:  2010-12-01

2.  Evaluation of forensic DNA mixture evidence: protocol for evaluation, interpretation, and statistical calculations using the combined probability of inclusion.

Authors:  Frederick R Bieber; John S Buckleton; Bruce Budowle; John M Butler; Michael D Coble
Journal:  BMC Genet       Date:  2016-08-31       Impact factor: 2.797

3.  TrueAllele casework on Virginia DNA mixture evidence: computer and manual interpretation in 72 reported criminal cases.

Authors:  Mark W Perlin; Kiersten Dormer; Jennifer Hornyak; Lisa Schiermeier-Wood; Susan Greenspoon
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

4.  New York State TrueAllele ® casework validation study.

Authors:  Mark W Perlin; Jamie L Belrose; Barry W Duceman
Journal:  J Forensic Sci       Date:  2013-07-18       Impact factor: 1.832

5.  Inclusion probability for DNA mixtures is a subjective one-sided match statistic unrelated to identification information.

Authors:  Mark William Perlin
Journal:  J Pathol Inform       Date:  2015-10-28
  5 in total

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