Sex estimation is an integral aspect of biological anthropology. Correctly estimating sex is the first step to many subsequent analyses, such as estimating living stature or age-at-death. Klales et al. (2012) provided a revised version of the Phenice (1969) method that expanded the original three traits (ventral arc, subpubic concavity/contour, and medial aspect of the ischio-pubic ramus) into five character states to capture varying degrees of expression within each trait. The Klales et al. (2012) [6] method also provided associated probabilities with each sex classification, which is of particular importance in forensic anthropology; however, the external validity of this method must be tested prior to applying the method to different populations from which the method was developed. In the current study, trait scores for each innominate were entered into the equation provided by Klales et al. (2012) for external validation. Additionally, recalibration equations were calculated with logistic regression for each population and for a pooled global sample. Validation accuracies ranged from 87.5 percent to 95.6 percent, and recalibration equation accuracies ranged from 89.6 percent to 98 percent total correct. Pooling all samples and using Klales' et al. (2012) equations achieved an overall validation accuracy of 93.5 percent. The global recalibration model achieved 95.9 percent classification accuracy and can be used in diverse worldwide populations for accurate sex estimation without the need for population-specific equations. (Publisher abstract modified)
Downloads
Similar Publications
- Criticality of Spray Solvent Choice on the Performance of Next Generation, Spray-Based Ambient Mass Spectrometric Ionization Sources: A Case Study Based on Synthetic Cannabinoid Forensic Evidence
- Testing the Invariance of Warrior and Guardian Orientations on the Prioritization of Procedural Justice: Do Officer Demographics Matter?
- Using Data Governance and Data Management in Law Enforcement Building a Research Agenda That Includes Strategy, Implementation, and Needs for Innovation