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The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

A method for visual determination of sex, using the human hip bone

Bruzek, Jaroslav·2002·American Journal of Physical Anthropology
DOI 10.1002/ajpa.10012
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Abstract

A new visual method for the determination of sex using the human hip bone (os coxae) is proposed, based on a revision of several previous approaches which scored isolated characters of this bone. The efficacy of the methodology is tested on a sample of 402 adults of known sex and age of French and Portuguese origins. With the simultaneous use of five characters of the hip bone, it is possible to provide a correct sexual diagnosis in 95% of all cases, with an error of 2% and an inability to identify sex in only 3%. The advantage of this new method is a reduction in observer subjectivity, since the evaluation procedure cannot involve any anticipation of the result. In addition, this method of sex determination increases the probability of a correct diagnosis with isolated fragments of the hip bone, provided that a combination of elements of one character is found to be typically male or female. Am J Phys Anthropol 117:157–168, 2002. © 2002 Wiley‐Liss, Inc.

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Metadata

Authors
Bruzek, J.
Venue
American Journal of Physical Anthropology
Publisher
Wiley
Published
2002-01-17
Volume
117
Issue
2
Pages
157-168
ISSN
  • 0002-9483 (ISSN-L)
  • 1096-8644
DOI
10.1002/ajpa.10012
OpenAlex
W2150615087
Cited by
1,160
References
18
FWCI
140.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A method for visual determination of sex, using the human hip bone. https://app.cochat.ai/papers/10.1002/ajpa.10012
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Bruzek, J. (2002). A method for visual determination of sex, using the human hip bone. American Journal of Physical Anthropology. https://doi.org/10.1002/ajpa.10012

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.