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Recalibration of the Klales et al. (2012) method of sexing the human innominate for Mexican populations
Author(s) -
GómezValdés Jorge A.,
Menéndez Garmendia Antinea,
GarcíaBarzola Lizbeth,
SánchezMejorada Gabriela,
Karam Carlos,
Baraybar José Pablo,
Klales Alexandra
Publication year - 2017
Publication title -
american journal of physical anthropology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 119
eISSN - 1096-8644
pISSN - 0002-9483
DOI - 10.1002/ajpa.23157
Subject(s) - sexing , demography , statistics , estimation , logistic regression , population , mathematics , geography , biology , sociology , zoology , management , economics
Abstract Objectives The aim of this study was to test the accuracy of the Klales et al. (2012) equation for sex estimation in contemporary Mexican population. Materials and Methods Our investigation was carried out on a sample of 203 left innominates of identified adult skeletons from the UNAM‐Collection and the Santa María Xigui Cemetery, in Central Mexico. The Klales' original equation produces a sex bias in sex estimation against males (86–92% accuracy versus 100% accuracy in females). Based on these results, the Klales et al. (2012) method was recalibrated for a new cutt‐of‐point for sex estimation in contemporary Mexican populations. Results and Discussion The results show cross‐validated classification accuracy rates as high as 100% after recalibrating the original logistic regression equation. Recalibration improved classification accuracy and eliminated sex bias. This new formula will improve sex estimation for Mexican contemporary populations.