Literature DB >> 29277020

Sex estimation from the patella in an African American population.

Tanya R Peckmann1, Brooke Fisher2.   

Abstract

The skull and pelvis have been used for the estimation of sex for unknown human remains. However, in forensic cases where skeletal remains often exhibit postmortem damage and taphonomic changes the patella may be used for the estimation of sex as it is a preservationally favoured bone. The goal of the present research was to derive discriminant function equations from the patella for estimation of sex from an historic African American population. Six parameters were measured on 200 individuals (100 males and 100 females), ranging in age from 20 to 80 years old, from the Robert J. Terry Anatomical Skeleton Collection. The statistical analyses showed that all variables were sexually dimorphic. Discriminant function score equations were generated for use in sex estimation. The overall accuracy of sex classification ranged from 80.0% to 85.0% for the direct method and 80.0%-84.5% for the stepwise method. Overall, when the Spanish and Black South African discriminant functions were applied to the African American population they showed low accuracy rates for sexing the African American sample. However, when the White South African discriminant functions were applied to the African American sample they displayed high accuracy rates for sexing the African American population. The patella was shown to be accurate for sex estimation in the historic African American population.
Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Entities:  

Keywords:  Adults; African American; Discriminant functions; Forensic anthropology population data; Patella; Sex estimation

Mesh:

Year:  2017        PMID: 29277020     DOI: 10.1016/j.jflm.2017.12.002

Source DB:  PubMed          Journal:  J Forensic Leg Med        ISSN: 1752-928X            Impact factor:   1.614


  1 in total

1.  Getting Rid of Dichotomous Sex Estimations: Why Logistic Regression Should be Preferred Over Discriminant Function Analysis.

Authors:  Bjørn Peare Bartholdy; Elena Sandoval; Menno L P Hoogland; Sarah A Schrader
Journal:  J Forensic Sci       Date:  2020-06-10       Impact factor: 1.832

  1 in total

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