Sex estimation using nonmetric variables: Application of R functions

Efthymia Nikita; Julieta Gómez García-Donas; Panos Nikitas; Zuzana Obertová; Elena F. Kranioti

doi:10.1016/B978-0-12-815764-0.00004-6

Sex estimation using nonmetric variables: Application of R functions

Efthymia Nikita, Julieta Gómez García-Donas, Panos Nikitas, Zuzana Obertová, Elena F. Kranioti

Centre for Anatomy and Human Identification

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

3 Citations (Scopus)

Abstract

The aim of this paper is to provide a methodological guide on how to select, test, and use statistical procedures for sex estimation using morphological traits of the cranium expressed on an ordinal scale. R functions were developed to implement binary logistic regression (BLR) and linear discriminant analysis (LDA), and step-by-step instructions with examples from Cretan and Cypriot modern identified skeletal samples were provided to illustrate the potential and limitations of each method. Even though the current case study focused on cranial traits, the R functions provided may be used for any morphological skeletal trait.

Original language	English
Title of host publication	Statistics and Probability in Forensic Anthropology
Editors	Zuzana Obertová, Alistair Stewart, Cristina Cattaneo
Publisher	Academic Press
Chapter	4.1
Pages	139-153
Number of pages	15
ISBN (Print)	9780128157640
DOIs	https://doi.org/10.1016/B978-0-12-815764-0.00004-6
Publication status	Published - 2020

Keywords

Biological profile
Regression analysis
Discriminant function
Accuracy
Ordinal scale

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10.1016/B978-0-12-815764-0.00004-6Licence: Elsevier User Licence

Cite this

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title = "Sex estimation using nonmetric variables: Application of R functions",

abstract = "The aim of this paper is to provide a methodological guide on how to select, test, and use statistical procedures for sex estimation using morphological traits of the cranium expressed on an ordinal scale. R functions were developed to implement binary logistic regression (BLR) and linear discriminant analysis (LDA), and step-by-step instructions with examples from Cretan and Cypriot modern identified skeletal samples were provided to illustrate the potential and limitations of each method. Even though the current case study focused on cranial traits, the R functions provided may be used for any morphological skeletal trait.",

keywords = "Biological profile, Regression analysis, Discriminant function, Accuracy, Ordinal scale",

author = "Efthymia Nikita and {G{\'o}mez Garc{\'i}a-Donas}, Julieta and Panos Nikitas and Zuzana Obertov{\'a} and Kranioti, {Elena F.}",

year = "2020",

doi = "10.1016/B978-0-12-815764-0.00004-6",

language = "English",

isbn = "9780128157640",

pages = "139--153",

editor = "Zuzana Obertov{\'a} and Alistair Stewart and Cristina Cattaneo",

booktitle = "Statistics and Probability in Forensic Anthropology",

publisher = "Academic Press",

}

Sex estimation using nonmetric variables: Application of R functions. / Nikita, Efthymia; Gómez García-Donas, Julieta; Nikitas, Panos et al.
Statistics and Probability in Forensic Anthropology. ed. / Zuzana Obertová; Alistair Stewart; Cristina Cattaneo. Academic Press, 2020. p. 139-153.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Sex estimation using nonmetric variables: Application of R functions

AU - Nikita, Efthymia

AU - Gómez García-Donas, Julieta

AU - Nikitas, Panos

AU - Obertová, Zuzana

AU - Kranioti, Elena F.

PY - 2020

Y1 - 2020

N2 - The aim of this paper is to provide a methodological guide on how to select, test, and use statistical procedures for sex estimation using morphological traits of the cranium expressed on an ordinal scale. R functions were developed to implement binary logistic regression (BLR) and linear discriminant analysis (LDA), and step-by-step instructions with examples from Cretan and Cypriot modern identified skeletal samples were provided to illustrate the potential and limitations of each method. Even though the current case study focused on cranial traits, the R functions provided may be used for any morphological skeletal trait.

AB - The aim of this paper is to provide a methodological guide on how to select, test, and use statistical procedures for sex estimation using morphological traits of the cranium expressed on an ordinal scale. R functions were developed to implement binary logistic regression (BLR) and linear discriminant analysis (LDA), and step-by-step instructions with examples from Cretan and Cypriot modern identified skeletal samples were provided to illustrate the potential and limitations of each method. Even though the current case study focused on cranial traits, the R functions provided may be used for any morphological skeletal trait.

KW - Biological profile

KW - Regression analysis

KW - Discriminant function

KW - Accuracy

KW - Ordinal scale

U2 - 10.1016/B978-0-12-815764-0.00004-6

DO - 10.1016/B978-0-12-815764-0.00004-6

M3 - Chapter (peer-reviewed)

SN - 9780128157640

SP - 139

EP - 153

BT - Statistics and Probability in Forensic Anthropology

A2 - Obertová, Zuzana

A2 - Stewart, Alistair

A2 - Cattaneo, Cristina

PB - Academic Press

ER -

Sex estimation using nonmetric variables: Application of R functions

Abstract

Keywords

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