Literature DB >> 27817943

A comment on the PCAST report: Skip the "match"/"non-match" stage.

Geoffrey Stewart Morrison1, David H Kaye2, David J Balding3, Duncan Taylor4, Philip Dawid5, Colin G G Aitken6, Simone Gittelson7, Grzegorz Zadora8, Bernard Robertson9, Sheila Willis10, Susan Pope11, Martin Neil12, Kristy A Martire13, Amanda Hepler14, Richard D Gill15, Allan Jamieson16, Jacob de Zoete17, R Brent Ostrum18, Amke Caliebe19.   

Abstract

This letter comments on the report "Forensic science in criminal courts: Ensuring scientific validity of feature-comparison methods" recently released by the President's Council of Advisors on Science and Technology (PCAST). The report advocates a procedure for evaluation of forensic evidence that is a two-stage procedure in which the first stage is "match"/"non-match" and the second stage is empirical assessment of sensitivity (correct acceptance) and false alarm (false acceptance) rates. Almost always, quantitative data from feature-comparison methods are continuously-valued and have within-source variability. We explain why a two-stage procedure is not appropriate for this type of data, and recommend use of statistical procedures which are appropriate.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  False alarm; Forensic statistics; Likelihood ratio; Match/non-match; PCAST report; Sensitivity

Year:  2016        PMID: 27817943     DOI: 10.1016/j.forsciint.2016.10.018

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  3 in total

Review 1.  Advancing a paradigm shift in evaluation of forensic evidence: The rise of forensic data science.

Authors:  Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2022-05-18

Review 2.  Interpol review of glass and paint evidence 2016-2019.

Authors:  Jose Almirall; Tatiana Trejos; Katelyn Lambert
Journal:  Forensic Sci Int       Date:  2020-03-19       Impact factor: 2.395

3.  The strange persistence of (source) "identification" claims in forensic literature through descriptivism, diagnosticism and machinism.

Authors:  Alex Biedermann
Journal:  Forensic Sci Int Synerg       Date:  2022-03-02
  3 in total

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