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Tytuł:
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Minor or adult? Introducing decision analysis in forensic age estimation.
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Autorzy:
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Sironi E; School of Criminal Justice, Building Batochime, University of Lausanne, 1015 Lausanne-Dorigny, Switzerland. Electronic address: .
Gittelson S; Centre for Forensic Science, University of Technology Sydney, Broadway, NSW 2007, Australia. Electronic address: .
Bozza S; School of Criminal Justice, Building Batochime, University of Lausanne, 1015 Lausanne-Dorigny, Switzerland; Department of Economics, University Ca' Foscari of Venice, Venice, Italy. Electronic address: .
Taroni F; School of Criminal Justice, Building Batochime, University of Lausanne, 1015 Lausanne-Dorigny, Switzerland. Electronic address: .
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Źródło:
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Science & justice : journal of the Forensic Science Society [Sci Justice] 2021 Jan; Vol. 61 (1), pp. 47-60. Date of Electronic Publication: 2020 Sep 28.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: London : Elsevier
Original Publication: Harrogate, North Yorkshire, UK ; Middlesex, NJ : The Society, c1995-
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MeSH Terms:
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Decision Support Techniques*
Forensic Medicine*
Humans
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Contributed Indexing:
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Keywords: Bayesian decision theory; Chronological age; Decision consequences; Evidence evaluation; Evidence interpretation; Loss function
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Entry Date(s):
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Date Created: 20201228 Date Completed: 20220414 Latest Revision: 20220531
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Update Code:
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20240105
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DOI:
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10.1016/j.scijus.2020.09.004
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PMID:
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33357827
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Nowadays, forensic age estimation takes an important role in worldwide forensic and medico-legal institutes that are solicited by judicial or administrative authorities for providing an expert report on the age of individuals. The authorities' ultimate issue of interest is often the probability that the person is younger or older than a given age threshold, which is usually the age of majority. Such information is fundamental for deciding whether a person being judged falls under the legal category of an adult. This is a decision that may have important consequences for the individual, depending on the legal framework in which the decision is made. The aim of this paper is to introduce a normative approach for assisting the authority in the decision-making process given knowledge from available findings reported by means of probabilities. The normative approach proposed here has been acknowledged in the forensic framework, and represents a promising structure for reasoning that can support the decision-making process in forensic age estimation. The paper introduces the fundamental elements of decision theory applied to the specific case of age estimation, and provides some examples to illustrate its practical application.
(Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)