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      Sexual dimorphism of dental tissues in modern human mandibular molars

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          Summary

          Previous studies have revealed that human permanent dental tissue proportions differ significantly between males and females, with females having relatively thicker enamel relative to overall crown area than males. The aims of this study are to investigate sexual dimorphism in permanent mandibular molars and to determine whether such differences can be used to estimate sex in modern humans reliably. Eight variables were assessed from two‐dimensional microtomographic scans. Binary stepwise logistic regression was then applied to the data. Results show that male molars possess significantly greater quantities of dentine than females, both absolutely and proportionally. Females differed significantly from males by having greater relative enamel thickness. Logistic regression identified the proportion of dentine (relative dentine area) as the most important sex discriminator, which can be used to correctly classify specimens with an overall accuracy rate of 74.36%. These results confirm that sexual dimorphism in mandibular molar size is a result of males having a greater amount of dentine, both absolutely and proportionally. The findings suggest that 2D measurements of RDA may be useful for sex determination.

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            Applied Logistic Regression

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              Is Open Access

              Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

              Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.
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                Author and article information

                Contributors
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                Journal
                American Journal of Physical Anthropology
                Am J Phys Anthropol
                Wiley
                00029483
                June 2019
                June 2019
                March 13 2019
                : 169
                : 2
                : 332-340
                Affiliations
                [1 ]Department of Anthropology; University College London; London United Kingdom
                [2 ]CENIEH (National Research Center on Human Evolution); Burgos Spain
                [3 ]De la Préhistoire à l'Actuel : Culture, Environnement et Anthropologie; University of Bordeaux; Pessac Cedex France
                [4 ]Laboratorio de Antropología Forense, Escuela de Medicina Legal y Forense; Universidad Complutense de Madrid; Madrid Spain
                Article
                10.1002/ajpa.23822
                30866041
                287ce37f-d212-4a23-8fa8-e58617a8e3a5
                © 2019

                http://doi.wiley.com/10.1002/tdm_license_1.1

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