• RI - Unifesp
    • Documentos
    • Tutoriais
    • Perguntas frequentes
    • Atendimento
    • Equipe
    • português (Brasil)
    • English
    • español
  • Sobre
    • RI Unifesp
    • Documentos
    • Tutoriais
    • Perguntas frequentes
    • Atendimento
    • Equipe
  • English 
    • português (Brasil)
    • English
    • español
    • português (Brasil)
    • English
    • español
  • Login
View Item 
  •   DSpace Home
  • Escola Paulista de Medicina (EPM)
  • EPM - Artigos
  • View Item
  •   DSpace Home
  • Escola Paulista de Medicina (EPM)
  • EPM - Artigos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Performance Evaluation as a Diagnostic Test for Traditional Methods for Forensic Identification of Sex

Date
2009-06-01
Author
Galdames, Ivan Claudio Suazo [UNIFESP]
Matamala, Daniela Zavando [UNIFESP]
Smith, Ricardo Luiz [UNIFESP]
Metadata
Show full item record
Abstract
This study assesses the quality, as a diagnostic test, of the main indicators of morphological sexual dimorphism through direct anthropometry, biostatistics tools and clinical epidemiology. This study used 284 skulls of adult Brazilians, of which 187 were male and 97 female. A study of the cross-evaluation of the diagnostic test was performed; it was a qualitative approach based on visual examination of 16 traditional indicators of morphological sexual dimorphism, where each indicator determined the level of accuracy, sensitivity, predictive values, likelihood ratios, and odds ratio. All indicators studied had high levels of accuracy (84.75-72.89%). The best indicators were found in traits whose formation is related to the insertion and action of major muscle groups. In 14 of the 16 indicators, intraobserver error was <10%. The best indicators of morphological sexual dimorphism were mastoid process, zygomatic bone, mandible, and roughness of the occipital bone. The authors concluded that morphological dimorphism indicators present an adequate performance as diagnostic tests, however, the values of accuracy and sensitivity must be matched with more robust indicators that are independent of the distribution of the sample, and integrate diagnostic errors such as the likelihood ratios, odds ratios, and positive predictive values.
URI
http://repositorio.unifesp.br/11600/44069
Collections
  • EPM - Artigos [12070]

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy Submit DateThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Submit Date

My Account

Login

Statistics

View Usage Statistics

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV