ArticleCroatian medical journal2017
Sex estimation standards for medieval and contemporary Croats.
Article in Croatian medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Sex estimation with convolutional neural networks using the patella magnetic resonance image slices.Forensic science, medicine, and pathology · 2025Article
- Developing a fully applicable machine learning (ML) based sex classification model using linear cranial dimensions.Scientific reports · 2024Article
- SRY gene isolation from teeth for forensic gender identification-An observational study.PloS one · 2024Observational
- Sex estimation using orbital measurements in the Croatian population.Forensic science, medicine, and pathology · 2023Article
- Cranial and Odontological Methods for Sex Estimation-A Scoping Review.Medicina (Kaunas, Lithuania) · 2022Article
- Sex estimation of skeletons in middle and late adulthood: reliability of pelvic morphological traits and long bone metrics on an Italian skeletal collection.International journal of legal medicine · 2020Article
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5 authors.
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Abstract
aimTo develop discriminant functions for sex estimation on medieval Croatian population and test their application on contemporary Croatian population.
methodsFrom a total of 519 skeletons, we chose 84 adult excellently preserved skeletons free of antemortem or postmortem changes and took all standard measurements. Sex was estimated/determined using standard anthropological procedures and ancient DNA (amelogenin analysis) where pelvis was insufficiently preserved or where sex morphological indicators were not consistent. We explored which measurements showed sexual dimorphism and used them for developing univariate and multivariate discriminant functions for sex estimation. We included only those functions that reached accuracy rate ≥80%. We tested the applicability of developed functions on modern Croatian sample (n=37).
resultsFrom 69 standard skeletal measurements used in this study, 56 of them showed statistically significant sexual dimorphism (74.7%). We developed five univariate discriminant functions with classification rate 80.6%-85.2% and seven multivariate discriminant functions with an accuracy rate of 81.8%-93.0%. When tested on the modern population functions showed classification rates 74.1%-100%, and ten of them reached aimed accuracy rate. Females showed higher classified in the mediaeval populations, whereas males were better classification rates in the modern populations.
conclusionDeveloped discriminant functions are sufficiently accurate for reliable sex estimation in both medieval Croatian population and modern Croatian samples and may be used in forensic settings. The methodological issues that emerged regarding the importance of considering external factors in development and application of discriminant functions for sex estimation should be further explored.
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