Inconclusive decisions and error rates in forensic science.

Bayesian reasoning Black-box study Error rates Forensic science Inconclusives Likelihood ratio Validation data

Journal

Forensic science international. Synergy
ISSN: 2589-871X
Titre abrégé: Forensic Sci Int Synerg
Pays: Netherlands
ID NLM: 101766849

Informations de publication

Date de publication:
2024
Historique:
received: 14 03 2024
revised: 17 04 2024
accepted: 18 04 2024
medline: 13 5 2024
pubmed: 13 5 2024
entrez: 13 5 2024
Statut: epublish

Résumé

In recent years, there has been discussion and controversy relating to the treatment of inconclusive decisions in forensic feature comparison disciplines when considering the reliability of examination methods and results. In this article, we offer a brief review of the various viewpoints and suggestions that have been recently put forth, followed by a solution that we believe addresses the treatment of inconclusive decisions. We consider the issues in the context of

Identifiants

pubmed: 38737990
doi: 10.1016/j.fsisyn.2024.100472
pii: S2589-871X(24)00019-6
pmc: PMC11087963
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100472

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

H Swofford (H)

National Institute of Standards and Technology (NIST), USA.

S Lund (S)

National Institute of Standards and Technology (NIST), USA.

H Iyer (H)

National Institute of Standards and Technology (NIST), USA.

J Butler (J)

National Institute of Standards and Technology (NIST), USA.

J Soons (J)

National Institute of Standards and Technology (NIST), USA.

R Thompson (R)

National Institute of Standards and Technology (NIST), USA.

V Desiderio (V)

National Institute of Standards and Technology (NIST), USA.

J P Jones (JP)

National Institute of Standards and Technology (NIST), USA.

R Ramotowski (R)

National Institute of Standards and Technology (NIST), USA.

Classifications MeSH