Literature DB >> 22714398

A revised method of sexing the human innominate using Phenice's nonmetric traits and statistical methods.

Alexandra R Klales1, Stephen D Ousley, Jennifer M Vollner.   

Abstract

The traits of the pubis described by Phenice (Am J Phys Anthropol 30 (1969) 297-302) have been used extensively by physical anthropologist for sex estimation. This study investigates all three of Phenice's characteristics in an approach similar to Walker's (Am J Phys Anthropol 136 (2008) 39-50) study using observations from the cranium and mandible. The ventral arc, the subpubic contour, and the medial aspect of the ischio-pubic ramus were scored on a five-point ordinal scale from a sample of 310 adult, left innominates of known ancestry and sex from the Hamann-Todd Human Osteological Collection and the W.M. Bass Donated Skeletal Collection. Four observers with varying levels of experience blindly scored each trait using new descriptions and illustrations adapted from those originally created by Phenice. The scores were then analyzed with ordinal logistic regression. Using all three traits for sex classification, the mean correct classification rate was 94.5% cross-validated for experienced observers. Intra- and interobserver error in trait scoring was low for all three traits and agreement levels ranged from moderate to substantial. Tests of the method on an independent validation sample provided a classification accuracy of 86.2%. This revision of the Phenice (Am J Phys Anthropol 30 (1969) 297-302) technique is a reliable and valid method of sex estimation from the human innominate that meets the Daubert criteria for court admissibility.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22714398     DOI: 10.1002/ajpa.22102

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  12 in total

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6.  Anthropometric study using three-dimensional pelvic CT scan in sex determination among adult Indonesian population.

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7.  Sex estimation standards for medieval and contemporary Croats.

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8.  Identifying migrant remains in South Texas: policy and practice.

Authors:  M Katherine Spradley; Nicholas P Herrmann; Courtney B Siegert; Chloe P McDaneld
Journal:  Forensic Sci Res       Date:  2018-10-29

9.  Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.

Authors:  Efthymia Nikita; Panos Nikitas
Journal:  Int J Legal Med       Date:  2019-08-23       Impact factor: 2.686

10.  The accuracy of 3D virtual bone models of the pelvis for morphological sex estimation.

Authors:  Kerri L Colman; Alie E van der Merwe; Kyra E Stull; Johannes G G Dobbe; Geert J Streekstra; Rick R van Rijn; Roelof-Jan Oostra; Hans H de Boer
Journal:  Int J Legal Med       Date:  2019-01-24       Impact factor: 2.686

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