Literature DB >> 26248867

A Practical Guide for the Formulation of Propositions in the Bayesian Approach to DNA Evidence Interpretation in an Adversarial Environment.

Simone Gittelson1, Tim Kalafut2, Steven Myers3, Duncan Taylor4, Tacha Hicks5,6, Franco Taroni5, Ian W Evett7, Jo-Anne Bright8, John Buckleton8.   

Abstract

The interpretation of complex DNA profiles is facilitated by a Bayesian approach. This approach requires the development of a pair of propositions: one aligned to the prosecution case and one to the defense case. This note explores the issue of proposition setting in an adversarial environment by a series of examples. A set of guidelines generalize how to formulate propositions when there is a single person of interest and when there are multiple individuals of interest. Additional explanations cover how to handle multiple defense propositions, relatives, and the transition from subsource level to activity level propositions. The propositions depend on case information and the allegations of each of the parties. The prosecution proposition is usually known. The authors suggest that a sensible proposition is selected for the defense that is consistent with their stance, if available, and consistent with a realistic defense if their position is not known.
© 2015 American Academy of Forensic Sciences.

Entities:  

Keywords:  Bayesian approach; DNA mixtures; forensic DNA; forensic science; likelihood ratio; propositions

Mesh:

Year:  2015        PMID: 26248867     DOI: 10.1111/1556-4029.12907

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


  5 in total

1.  A response to "Likelihood ratio as weight of evidence: A closer look" by Lund and Iyer.

Authors:  Simone Gittelson; Charles E H Berger; Graham Jackson; Ian W Evett; Christophe Champod; Bernard Robertson; James M Curran; Duncan Taylor; Bruce S Weir; Michael D Coble; John S Buckleton
Journal:  Forensic Sci Int       Date:  2018-05-22       Impact factor: 2.395

Review 2.  A Logical Framework for Forensic DNA Interpretation.

Authors:  Tacha Hicks; John Buckleton; Vincent Castella; Ian Evett; Graham Jackson
Journal:  Genes (Basel)       Date:  2022-05-27       Impact factor: 4.141

Review 3.  Interpol review of forensic biology and forensic DNA typing 2016-2019.

Authors:  John M Butler; Sheila Willis
Journal:  Forensic Sci Int       Date:  2020-02-20       Impact factor: 2.395

Review 4.  A Review of Probabilistic Genotyping Systems: EuroForMix, DNAStatistX and STRmix™.

Authors:  Peter Gill; Corina Benschop; John Buckleton; Øyvind Bleka; Duncan Taylor
Journal:  Genes (Basel)       Date:  2021-09-30       Impact factor: 4.096

5.  Internal Validation of MaSTR™ Probabilistic Genotyping Software for the Interpretation of 2-5 Person Mixed DNA Profiles.

Authors:  Michael S Adamowicz; Taylor N Rambo; Jennifer L Clarke
Journal:  Genes (Basel)       Date:  2022-08-11       Impact factor: 4.141

  5 in total

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