Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Prediction of Race Using Characteristics of Dental Morphology

Type de record:

paper
Créateur:
JHE
Éditeur:
AST
Hôte:
Abstract Historically, forensic anthropology has concentrated on race determination using skeletal morphological variation. Conversely, dental anthropology has been concerned with worldwide patterns of dental morphological variation. This paper represents a synthesis of the goals of forensic anthropology with the methods of dental anthropology. Dentitions of modern African Americans (n = 110) and European Americans (n = 155) were observed using methods based on the Arizona State University dental morphology standards. Of 136 characters observed, eight were found with frequencies that were very different between the groups. Based on these eight characteristics, probability tables were created for determining an individual's social race, using both Bayesian prediction and logistic regression. These tables are applicable for determining the probability that an unknown individual can be categorized as African American or European American. This method was tested on 40 individuals known to belong in one of these two ancestral groups. Correct assignment of race was made in 90% of cases.

Visit

doi.org

Similaires

New Phylogenetic Analysis of the Family Elephantidae Based on Cranial‐Dental MorphologyCharacteristics and Study Motivation of Clinical Dental Students in Nigerian UniversitiesPrediction of unplanned cesarean section using measurable maternal and fetal characteristics, Ethiopia, a retrospective cohort study<b>Prediction of laterite strength and compaction characteristics from index properties using ANN, GPR, and MLR</b>Analysis of Machine Learning-Based Dental Caries Risk Prediction Model at Cairo Hospital, Egypt<b>Prediction of Laterite Strength and Compaction Characteristics from the Index Properties using ANN, GPR, and MLR</b>

New Phylogenetic Analysis of the Family Elephantidae Based on Cranial‐Dental Morphology

Abstract In 1973, Vincent Maglio published a seminal monograph on the evolution of the Elephantidae

Characteristics and Study Motivation of Clinical Dental Students in Nigerian Universities

Abstract A cross‐sectional study of a cohort of 197 clinical dental students in the four accredited

Prediction of unplanned cesarean section using measurable maternal and fetal characteristics, Ethiopia, a retrospective cohort study

Abstract Background When a pregnant woman experiences unusual c

<b>Prediction of laterite strength and compaction characteristics from index properties using ANN, GPR, and MLR</b>

The suitability of laterite for engineering constructions depends largely on the extensive examinati

Analysis of Machine Learning-Based Dental Caries Risk Prediction Model at Cairo Hospital, Egypt

Introduction: Dental caries is the most common chronic disease in children and adults throughout the

<b>Prediction of Laterite Strength and Compaction Characteristics from the Index Properties using ANN, GPR, and MLR</b>

The suitability of laterite for engineering constructions depends largely on the extensive examinati