Detailed Information on Publication Record
2013
Here’s looking at you, Fordisc®…
JURDA, Mikoláš, Petra URBANOVÁ and Miroslav DVOŘÁKBasic information
Original name
Here’s looking at you, Fordisc®…
Authors
JURDA, Mikoláš (203 Czech Republic, guarantor, belonging to the institution), Petra URBANOVÁ (203 Czech Republic, belonging to the institution) and Miroslav DVOŘÁK (203 Czech Republic, belonging to the institution)
Edition
Bologna (It), Presentation from the 22nd Congress of the International Academy of Legal Medicine IALM 2012, p. 243-248, 6 pp. 2013
Publisher
Medimond
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
Archaeology, anthropology, ethnology
Country of publisher
Italy
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
storage medium (CD, DVD, flash disk)
References:
RIV identification code
RIV/00216224:14310/13:00068342
Organization unit
Faculty of Science
ISBN
978-88-7587-676-0
UT WoS
000320999000047
Keywords (in Czech)
Fordisc; určení pohlaví, populační afinita, lebeční rozměry, pohlavní rozdíly
Keywords in English
Fordisc; sex assessment; ancestry; cranial measurements; sexual dimorphism
Tags
International impact
Změněno: 5/3/2014 15:02, doc. RNDr. Petra Urbanová, Ph.D.
Abstract
V originále
The main goal of our study was to assess the reliability of discriminant functions generated using Fordisc 3 software when applied on human crania, which have no relevance to Fordisc reference populations. Sex and ancestry determination of 914 crania of known sex from six different skeletal collections (Athens, Coimbra, Lisbon, Săo Paulo and two collections from Prague) was carried out. Crania were analyzed using 13 cranial measures computed from 3D Cartesian coordinates of landmarks. Discriminate functions derived from both Howells and FDB database were used to assess sex and ancestry. The accuracy of sex determination varied between 67% and 78% depending on specified ancestry. The crania were assigned to their historically or geographically related reference population at a rate exceeding their odds but not with the widely accepted reliability of 95%. Our results support the assumptions that the reliability of Fordisc 3.1 is limited when the complete set of measurements is not available for the analysis and specimen doesn t belong to the reference population.