A quantitative approach for sex estimation based on cranial morphology

Area of Science:

• Forensic Anthropology
• Biological Anthropology
• Craniometry

Background:

• Sex estimation from skeletal remains is crucial in anthropology and forensics.
• Existing methods for sex determination from cranial traits have limitations.
• Quantifying shape variations in sexually dimorphic cranial structures can improve accuracy.

Purpose of the Study:

• To develop and validate a novel method for the quantitative assessment of sexually dimorphic cranial traits.
• To establish accurate sex estimation equations based on cranial morphology.
• To provide a practical and accessible tool for sex determination from crania.

Main Methods:

• Utilized digital photographs of crania from the Athens Collection (n=165) and Cretan crania (n=20).
• Developed a method involving profile drawing of the glabella, mastoid process, and external occipital protuberance.
• Employed binary logistic regression and discriminant analysis to identify optimal variables for sex discrimination.

Main Results:

• Achieved high cross-validated classification rates, ranging from 75.8% to 94.6% for males and females.
• Demonstrated successful prediction rates between 83.9% and 94.1% when using training and testing datasets.
• Showed accurate classification (80-90%) for Cretan crania using standards developed from the Athens sample.

Conclusions:

• The proposed method offers an effective and quantitative approach to analyzing sexually dimorphic cranial structures.
• This method provides more accurate sex estimation results compared to existing techniques.
• The study provides practical tools, including equations and Excel macros, for implementing the method without specialized equipment.