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
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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
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