Recalibration of the Klales et al. (2012) method of sexing the human innominate for Mexican populations
Bibliographic Data
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
Biology · Estimation · Geography · Logistic regression · Population · Sexing · Sociology · Statistics · Zoology · Demography · Evolutionary Psychology and Human Behavior · Forensic and Genetic Research · Forensic Anthropology and Bioarchaeology Studies · Mathematics
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| Citations per year | 0.71 |
|---|---|
| Citation span | 2019 - 2022 (4) |
| Highly cited | No |