Calculation of likelihood ratios for inference of biological sex from human skeletal remains


It is common in forensic anthropology to draw inferences (e.g., inferences with respect to biological sex of human remains) using statistical models applied to anthropometric data. Commonly used models can output posterior probabilities, but a threshold is usually applied in order to obtain a classification. In the forensic-anthropology literature, there is some unease with this “fall-off-the-cliff” approach. Proposals have been made to exclude results that fall within a “zone of uncertainty”, e.g., if the posterior probability for “male” is greater than 0.95 then the remains are classified as male, and if the posterior probability for “male” is less than 0.05 then the remains are classified as female, but if the posterior probability for “male” is between 0.05 and 0.95 the remains are not classified as either male or female. In the present paper, we propose what we believe is a simpler solution that is in line with interpretation of evidence in other branches of forensic science: implementation of the likelihood-ratio framework using relevant data, quantitative measurements, and statistical models. Statistical models that can implement this approach are already widely used in forensic anthropology. All that is required are minor modifications in the way those models are used and a change in the way practitioners and researchers think about the meaning of the output of those models. We explain how to calculate likelihood ratios using osteometric data and linear discriminant analysis, quadratic discriminant analysis, and logistic regression models. We also explain how to empirically validate likelihood-ratio models.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
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Additional Information: © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license Funding: This research was supported by Research England’s Expanding Excellence in England Fund as part of funding for the Aston Institute for Forensic Linguistics 2019–2022.
Uncontrolled Keywords: Forensic anthropology,Forensic inference and statistics,Likelihood ratio,Osteometry,Sex assessment,Pathology and Forensic Medicine,Law
Publication ISSN: 2589-871X
Last Modified: 22 May 2024 07:17
Date Deposited: 28 Sep 2021 09:25
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Related URLs: https://linking ... 589871X21000723 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-09-27
Accepted Date: 2021-09-23
Authors: Morrison, Geoffrey Stewart (ORCID Profile 0000-0001-8608-8207)
Weber, Philip (ORCID Profile 0000-0002-3121-9625)
Basu, Nabanita
Puch-Solis, Roberto
Randolph-Quinney, Patrick S.



Version: Accepted Version

Access Restriction: Restricted to Repository staff only

License: Creative Commons Attribution Non-commercial No Derivatives


Version: Published Version

License: Creative Commons Attribution

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