1984
DOI: 10.1520/jfs11738j
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Metropolitan Forensic Anthropology Team (MFAT) Studies in Identification: 1. Race and Sex Assessment by Discriminant Function Analysis of the Postcranial Skeleton

Abstract: A case study is presented to demonstrate the utility of the team approach to the identification of human remains, and to illustrate a methodological innovation developed by MFAT. Case 1 represents the first of several planned case studies, each designed to present new methodological solutions to standard problems in identification. The present case describes a test, by application, of race and sex assessment of the postcranial skeleton by discriminant function analysis.

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Cited by 4 publications
(2 citation statements)
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“…At puberty, bone elements begin to exhibit strong sexual dimorphism as a result of the action of oestrogen and testosterone. Additionally, the greater physical strength and muscle mass of male individuals impact bone landmarks, which are more prominent to accommodate the ligaments and muscles that perform more robust work [109][110][111].…”
Section: Cervical Vertebrae and Hyoid Bonementioning
confidence: 99%
“…At puberty, bone elements begin to exhibit strong sexual dimorphism as a result of the action of oestrogen and testosterone. Additionally, the greater physical strength and muscle mass of male individuals impact bone landmarks, which are more prominent to accommodate the ligaments and muscles that perform more robust work [109][110][111].…”
Section: Cervical Vertebrae and Hyoid Bonementioning
confidence: 99%
“…In addition, most of the postcranial metric methods only differentiate between two groups (Baker et al, ; Ballard, 1999; Craig, ; Taylor & DiBennardo, ; Işcan, ; Marino, ; Ünlütürk, ). Studies in the last few decades combat standardization concerns by combining postcranial elements in a LDFA (Dibennardo & Taylor, ; Holliday & Falsetti, ; Işcan & Cotton, ; Krogman & Isçan, ; Liebenberg, L'Abbé, & Stull, ; Spradley, ; Taylor, Dibennardo, Linares, Goldman, & Deforest, ).…”
Section: Postcranial Metric Ancestry Estimationmentioning
confidence: 99%