Improving Nonmetric Sex Classification for Hispanic Individuals

Alexandra R. Klales

32 citations0/0 files storedJournal of Forensic Sciences

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Forensic Anthropology and Bioarchaeology Studies Pleistocene-Era Hominins and Archaeology Forensic and Genetic Research

Abstract

Current techniques used by forensic anthropologists for the identification of unknown human skeletal remains have largely been created using U.S. Black and White samples. When applied to Hispanics, these techniques perform poorly and can lead to misclassifications; consequently, there is an imperative need for population-specific standards for Hispanics. This research examines the classification accuracies obtained by the original Walker (Am J Phys Anthropol, 136, 2008) and Klales et al. (Am J Phys Anthropol, 149, 2012) methods for nonmetric sex estimation and provides recalibrated regression equations specifically for Hispanics. Ordinal data were collected for five skull and three pelvic traits from a sample of 54 modern Hispanic individuals. Recalibration of the Klales et al. equation improved accuracy (90.3% vs. 94.1%), while recalibration of the Walker method equation decreased accuracy (81.5% vs. 74.1%), but greatly improved sex bias (22.2% vs. -7.4%), thereby making the recalibrated equations more appropriate for use with Hispanics.

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References

1969A newly developed visual method of sexing the os pubis 2001Developmental juvenile osteology.2008Sexing skulls using discriminant function analysis of visually assessed traits 2011Sex Estimation in Forensic Anthropology: Skull Versus Postcranial Elements 1968The External Validity of Experiments 2012A revised method of sexing the human innominate using Phenice's nonmetric traits and statistical methods 2008Demographic Change and Forensic Identification: Problems in Metric Identification of Hispanic Skeletons*2014Sexual dimorphism in human cranial trait scores: Effects of population, age, and body size

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2022Population-Inclusive Assigned-Sex-at-Birth Estimation from Skull Computed Tomography Scans 2022Sexual Dimorphism of Cranial Morphological Traits in an Italian Sample: A Population-Specific Logistic Regression Model for Predicting Sex 2017A Validation Study of the Langley et al. (2017) Decision Tree Model for Sex Estimation 2017Application of the Optimized Summed Scored Attributes Method to Sex Estimation in Asian Crania 2020

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