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Related Experiment Video

Updated: May 28, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
07:56

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

Transition analysis 3: New skeletal age indicators.

George R Milner1, Sara M Getz2, Svenja Weise3

  • 1Department of Anthropology, The Pennsylvania State University, University Park, PA 16802, United States.

Forensic Science International
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

This study enhances adult skeleton age estimation by analyzing transitions across multiple skeletal structures. A large global sample and statistical models provide improved accuracy for forensic anthropology and archaeology.

Keywords:
Age-of-Transition CurvesSkeletal Age IndicatorsTA3Transition Analysis

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Area of Science:

  • Forensic Anthropology
  • Bioarchaeology
  • Human Osteology

Background:

  • Accurate age estimation in adult human skeletons is crucial for forensic and archaeological studies.
  • Current methods using individual skeletal structures have limitations in precision.
  • A need exists for a more robust and globally applicable age estimation technique.

Purpose of the Study:

  • To develop an improved method for estimating the age of adult human skeletons.
  • To establish age-of-transition data for numerous cranial and postcranial structures.
  • To create a global age-estimation model using a large, diverse skeletal sample.

Main Methods:

  • Analysis of 69 early-to-late stage transitions in 47 skeletal structures from 1638 individuals across four continents.
  • Application of Generalized Linear Models (GLM) and Generalized Additive Models (GAM) to determine age-of-transition curves.
  • Development of look-up tables and a computer program (TA3-V1.0) for age estimation.

Main Results:

  • A comprehensive dataset of age-of-transition percentages (5-95%) for both sexes, with sex-specific data where applicable.
  • Identification of the most effective statistical model for generating age-estimation curves.
  • Validation of multiple skeletal structures, some for the first time, for age estimation.

Conclusions:

  • The collective analysis of multiple skeletal structure transitions significantly improves adult age estimation accuracy.
  • The provided look-up tables and software offer practical tools for forensic anthropologists and bioarchaeologists.
  • This research establishes a foundation for a more precise, globally applicable method for skeletal age assessment.