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.
CITATION STYLE
Gómez-Valdés, J. A., Menéndez Garmendia, A., García-Barzola, L., Sánchez-Mejorada, G., Karam, C., Baraybar, J. P., & Klales, A. (2017). Recalibration of the Klales et al. (2012) method of sexing the human innominate for Mexican populations. American Journal of Physical Anthropology, 162(3), 600–604. https://doi.org/10.1002/ajpa.23157
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