Gómez-Valdés Jorge A, Menéndez Garmendia Antinea, García-Barzola Lizbeth, Sánchez-Mejorada Gabriela, Karam Carlos, Baraybar José Pablo, Klales Alexandra
Posgrado en Antropología Física, Escuela Nacional de Antropología e Historia, Periférico Sur y Zapote S/N, Colonia Isidro Fabela, Distrito Federal, Tlalpan, 14030, México.
Departamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México. Circuito Interior, Ciudad Universitaria, Distrito Federal, Coyoacan, 04510, México.
Am J Phys Anthropol. 2017 Mar;162(3):600-604. doi: 10.1002/ajpa.23157. Epub 2017 Jan 24.
The aim of this study was to test the accuracy of the Klales et al. (2012) equation for sex estimation in contemporary Mexican population.
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.
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.
本研究旨在检验克拉莱斯等人（2012年）的方程在当代墨西哥人群中进行性别估计的准确性。
我们对来自墨西哥中部国立自治大学藏品和圣玛丽亚西吉公墓的203具已鉴定成年骨骼的左无名骨样本进行了研究。克拉莱斯的原始方程在性别估计中对男性存在性别偏差（准确率为86 - 92%，而女性为100%）。基于这些结果，克拉莱斯等人（2012年）的方法针对当代墨西哥人群的性别估计重新校准了新的切点。
结果显示，在对原始逻辑回归方程进行重新校准后，交叉验证的分类准确率高达100%。重新校准提高了分类准确率并消除了性别偏差。这个新公式将改进对墨西哥当代人群的性别估计。
