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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

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

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    60102 - Archaeology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GM24-10275M" target="_blank" >GM24-10275M: Tituly a kosti staroegyptských úředníků: nový matematický přístup ke zpracování dat ze Staré říše</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    African Archaeological Review

  • ISSN

    0263-0338

  • e-ISSN

  • Svazek periodika

    42

  • Číslo periodika v rámci svazku

    27.9.2025

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    24

  • Strana od-do

    421-444

  • Kód UT WoS článku

    001581959100001

  • EID výsledku v databázi Scopus