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Sex Estimation in the Egyptian Old Kingdom Population (c. 2700–2180 BCE) using Logistic Regression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023272%3A_____%2F25%3A10136880" target="_blank" >RIV/00023272:_____/25:10136880 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11210/25:10504865 RIV/68407700:21340/25:00390901 RIV/00216208:11310/25:10504865

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s10437-025-09635-7" target="_blank" >https://link.springer.com/article/10.1007/s10437-025-09635-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10437-025-09635-7" target="_blank" >10.1007/s10437-025-09635-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sex Estimation in the Egyptian Old Kingdom Population (c. 2700–2180 BCE) using Logistic Regression

  • Original language description

    Sex estimation based on skeletal dimen sions can be an important tool in the case of a miss ing pelvis, but is population specific. The aim is to present logistic regression models for sex estimation specifically for the Old Kingdom population (2700- 2180 BCE) of ancient Egypt. The sample includes the skeletal remains of 162 adult individuals, 95 males and 67 females, from two burial sites (Abusir, Giza), whose sex could be estimated based on pelvic bone measurements and/or morphological features. A total of 38 cranial and 64 postcranial measurements were included. Sex estimation equations were developed using logistic regression to obtain probabilities for sex predictions. 26 final skeletal measurements were selected for use in the multivariate models. A total of 65 best performing models are presented. All are statistically significant at a 0.01 p-level and charac terized by a combination of low error, high decisive ness, high accuracy, and sufficient coverage. Models incorporating lower limb measurements perform best, yielding almost no errors on the 95% certainty level. Sexual dimorphism in the lower limbs is best reflected by the physiological length of the talus, and in the upper limbs by the transversal head diameter of the humerus. The main advantages to logistic regres sion models are reliability and using probabilities to predict sex. Previous models used discriminant analy sis and did not target the population of the Old King dom. Their comparison with the presented models shows population specificity over time, and the need for models designed specifically for Old Kingdom individuals.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    60102 - Archaeology

Result continuities

  • Project

    <a href="/en/project/GM24-10275M" target="_blank" >GM24-10275M: Titles and bones of ancient Egyptian officials: New mathematical approach to analysing Old Kingdom data</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    African Archaeological Review

  • ISSN

    0263-0338

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    27.9.2025

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    24

  • Pages from-to

    421-444

  • UT code for WoS article

    001581959100001

  • EID of the result in the Scopus database