ArticleInternational journal of legal medicine2017
Population-specificity of sexual dimorphism in cranial and pelvic traits: evaluation of existing and proposal of new functions for sex assessment in a Greek assemblage.
Article in International journal of legal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Sex determination based on features of the craniofacial bones in a sample of the central Chinese population using cone beam computed tomography.Forensic sciences research · 2025Article
- Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans.Scientific reports · 2024Article
- Nonmetric sex estimation in a contemporary Indonesian population: a validation study using clinical pelvic MSCT scans.International journal of legal medicine · 2024Article
- Classification performance of the Sella-Tunis et al. (2017) sex estimation method in Czech population: different posterior probability threshold approaches.International journal of legal medicine · 2024Article
- Validating the use of clinical MSCT scans for cranial nonmetric sex estimation in a contemporary Indonesian population.International journal of legal medicine · 2024Article
- Prioritizing a high posterior probability threshold leading to low error rate over high classification accuracy: the validity of MorphoPASSE software for cranial morphological sex estimation in a contemporary population.International journal of legal medicine · 2024Article
- Occurrence of metopic suture in modern and archaeological Croatian population.Croatian medical journal · 2024Article
- Mandibular and dental measurements for sex determination using machine learning.Scientific reports · 2024Article
- Artificial intelligence model for predicting sexual dimorphism through the hyoid bone in adult patients.PloS one · 2024Article
- Sex estimation from virtual models: exploring the potential of stereolithic 3D crania models for morphoscopic trait scoring.Forensic sciences research · 2023Article
- Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements.International journal of legal medicine · 2023Article
- Article
- Age-related differences in cranial sexual dimorphism in contemporary Europe.International journal of legal medicine · 2021Article
- Advanced procedures for skull sex estimation using sexually dimorphic morphometric features.International journal of legal medicine · 2020Article
- Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables.International journal of legal medicine · 2020Article
- Investigating the sex-related geometric variation of the human cranium.International journal of legal medicine · 2018Article
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Authors and funding
3 authors.
Funding
Abstract
The current paper examines the accuracy of existing binary logistic regression equations for sex prediction based on pelvic and cranial traits in a modern Greek assemblage and proposes new equations with the aim of improving correct classification rates for Balkan material. Our results suggest that existing equations based on pelvic traits perform very well on the Greek material, which can be attributed to the fact that sexual dimorphism in the pelvis results from common evolutionary forces across populations. In contrast, equations based on cranial traits are highly dependent upon the populations based on which they were developed, stressing the need to produce more population-specific functions. Our proposed equations achieve correct sex classification in 92.59% of the females and 95.79% of the males for pelvic traits, while these percentages rise to 97.53% for females and 98.95% for males when the vertical femoral head diameter is included in the models. Our functions based on cranial traits produced correct classifications in up to 92.59% of females and 88.42% of males, and when the cranial scores where combined with the vertical femoral head diameter, the correct classification rates increased to 93.83% for females and 94.73% for males. Prior to the generalization of the use of these functions, further research examining their accuracy in other groups is required, but our results appear promising.
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