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Beatrix Dudzik

Researcher at College of Osteopathic Medicine of the Pacific

Publications -  17
Citations -  163

Beatrix Dudzik is an academic researcher from College of Osteopathic Medicine of the Pacific. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 6, co-authored 13 publications receiving 113 citations. Previous affiliations of Beatrix Dudzik include Lincoln Memorial University & University of Tennessee.

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A Decision Tree for Nonmetric Sex Assessment from the Skull

TL;DR: This study uses five well‐documented cranial nonmetric traits (glabella, mastoid process, mental eminence, supraorbital margin, and nuchal crest) and one additional trait (zygomatic extension) to develop a validated decision tree for sex assessment.
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Estimating age from the pubic symphysis: A new component-based system.

TL;DR: This study identifies patterns of growth and maturation in the pubic symphysis to derive more precise age estimates for individuals under 40 years of age and indicates that the method has the potential to deliver precise and accurate age estimates of individuals prior to the onset of advanced degenerative changes.
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Misclassifications of Hispanics Using Fordisc 3.1: Comparing Cranial Morphology in Asian and Hispanic Populations†

TL;DR: Results of this study confirm frequent rates of misclassification among Hispanic and Japanese groups and identify a close morphological relationship that may stem from similar population histories reflected in ancestral Native American and East Asian populations.
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Understanding (Mis)classification Trends of Latin Americans in Fordisc 3.1: Incorporating Cranial Morphology, Microgeographic Origin, and Admixture Proportions for Interpretation.

TL;DR: This paper examined the relationship among ancestry, geography, and Fordisc 3.1 misclassification of Latinos using canonical variate analysis and unsupervised model-based clustering of craniometrics.
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Examining Cranial Morphology of Asian and Hispanic Populations Using Geometric Morphometrics for Ancestry Estimation

TL;DR: In this paper, a more detailed analysis of the morphological similarities between Asian and Hispanic craniometrics is warranted using geometric morphometric approaches, showing that variation among samples can be better identified to describe which dimensions of the cranium exhibit the most overlap across populations.