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Cited by 58

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

A Comparison of Different Age Estimation Methods of the Adult Pelvis

Miranker, Molly·2016·Journal of Forensic Sciences

Abstract

The adult human pelvis is useful to estimate age because it contains three age indicators—the pubic symphysis, auricular surface, and acetabulum. This study tested the accuracy, inaccuracy, and bias of age estimation from the Suchey‐Brooks pubic symphysis, Osborne auricular surface, Rissech and Calce acetabulum aging methods, and a summary age of these indicators. The study sample consisted of 212 White individuals with known age and sex from the William M. Bass Donated Skeletal Collection. The Rissech method performed the best, was the most accurate method with smallest inaccuracy and bias, followed by the Osborne, Suchey‐Brooks, summary age, and then Calce methods. Though the Pearson correlation showed only the Suchey‐Brooks method to correlate significantly with known age, it is likely the Suchey‐Brooks study sample coincidentally reflected the age distribution of this test sample. Results suggested that Bayesian prediction may improve age estimation and should be applied to other age indicators.

Overview

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Crossref · 10.1111/1556-4029.13130

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Metadata

Authors
Miranker, M.
Affiliations
Department of Anthropology New York University 25 Waverly Place New York NY 10003
Venue
Journal of Forensic Sciences
Publisher
Wiley
Published
2016-06-27
Volume
61
Issue
5
Pages
1173-1179
ISSN
  • 0022-1198
  • 1556-4029
Cited by
58
References
35
Language
en
Funders
New York University

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CoChat. (2026). Citation check: A Comparison of Different Age Estimation Methods of the Adult Pelvis. https://app.cochat.ai/papers/10.1111/1556-4029.13130
The paper
Miranker, M. (2016). A Comparison of Different Age Estimation Methods of the Adult Pelvis. Journal of Forensic Sciences. https://doi.org/10.1111/1556-4029.13130

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.