Literature DB >> 23865634

A method for estimating sex using the clavicle, humerus, radius, and ulna.

John Albanese1.   

Abstract

Sex estimation from skeletal remains can be an important part of preliminary identification. The best source of information for estimating sex is the pelvis but it is not always available for analysis. For these cases, a probabilistic sex estimation method is presented using combinations of standard and alternative measurements of the clavicle, humerus, radius, and ulna. Various equations are developed that are not population specific and that are applicable in various recovery scenarios. The equations were tested using four independent samples (n > 370), including a forensic sample. Allocation accuracies vary by test sample and equation and are consistently good (87.4-97.5%) except for a sample of very small males that show the extreme effects of poverty and mortality bias. For many of the cases where allocation was incorrect, the probabilistic approach indicated that no confidence should be placed in the incorrect allocation and the unknown should be classified as sex indeterminate.
© 2013 American Academy of Forensic Sciences.

Keywords:  forensic anthropology; forensic science; logistic regression; osteometric; sex estimation; upper limb

Mesh:

Year:  2013        PMID: 23865634     DOI: 10.1111/1556-4029.12188

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  3 in total

1.  Disregarding population specificity: its influence on the sex assessment methods from the tibia.

Authors:  Anežka Kotěrová; Jana Velemínská; Ján Dupej; Hana Brzobohatá; Aleš Pilný; Jaroslav Brůžek
Journal:  Int J Legal Med       Date:  2016-07-20       Impact factor: 2.686

2.  Accuracies of discriminant function equations for sex estimation using long bones of upper extremities.

Authors:  Mubarak A Bidmos; Pedzisai Mazengenya
Journal:  Int J Legal Med       Date:  2020-11-11       Impact factor: 2.686

3.  Morphological Study of the Anterior Surface of the Distal Radius.

Authors:  Ho-Jung Cho; Soyeon Kim; Dai-Soon Kwak
Journal:  Biomed Res Int       Date:  2017-06-22       Impact factor: 3.411

  3 in total

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