Osteometric sex estimation from the os coxa in a Thai population

Mahakkanukrauh, Pasuk; Ruengdit, Sittiporn; tun, Saw Myint; Case, D. Troy; Sinthubua, Apichat

doi:10.1016/j.forsciint.2016.11.043

Cited by 21 publications

(18 citation statements)

References 28 publications

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“…In agreement with previous studies, pelvic height [e.g. 22,54,55] and the subpubic angle [e.g. 14,50,56,57] appear as some of the most dimorphic variables in the models enacted by CADOES.…”

Section: Discussionsupporting

confidence: 91%

“…To mitigate such problem, pelvis fragments and single bone measurements can be used for sex estimation, since the model generator can produce estimates with as few as two variables. In fact, univariable models are to be avoided as they usually are less accurate and more biased [22,50,64,65] and the number of variables required to yield the most accurate models generally range from two to eleven variables [54]. Another limitation is that metric methods are apparently population specific and tend to perform better within populations of similar height or general body proportions, since size in itself correlates more to these features than to sexual dimorphism [55,66,67].…”

Section: Discussionmentioning

confidence: 99%

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CADOES: An interactive machine-learning approach for sex estimation with the pelvis

Coelho

Curate

2019

Forensic Science International

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The pelvis is consistently regarded as the most sexually dimorphic region of the human skeleton, and methods for sex estimation with the pelvic bones are usually very accurate. In this investigation, population-specific osteometric models for the assessment of sex with the pelvis were designed using a dataset provided by J.A. Serra (1938) that included 256 individuals (131 females and 125 males) from the Coimbra Identified Skeletal Collection and 38 metric variables. The models for sex estimation were operationalized through an online application and decision support system, CADOES. Different classification algorithms generated high accuracy models, ranging from 85% to 92%, with only three variables; and from 85.33% to 97.33%, with all 38 variables. CADOES conveys a probabilistic prediction of skeletal sex, as well as a suite of attributes with educational applicability in the fields of human skeletal anatomy and statistics. This study upholds the value of the pelvis for the estimation of skeletal sex and provides models for that can be applied with high accuracy and low bias.

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“…In agreement with previous studies, pelvic height [e.g. 22,54,55] and the subpubic angle [e.g. 14,50,56,57] appear as some of the most dimorphic variables in the models enacted by CADOES.…”

Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

CADOES: An interactive machine-learning approach for sex estimation with the pelvis

Coelho

Curate

2019

Forensic Science International

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“…Population-specific discriminant function and logistic regression equations for estimation of sex have been formulated from measurements of the skull [4][5][6][7][8][9] , pectoral girdle [10][11][12][13][14][15] , sternum [16][17][18][19][20][21] , pelvis [22][23][24] , hand and foot bones [25][26][27][28][29][30] with various degrees of accuracies. In addition, several studies have shown the usefulness of intact long bones of upper and lower limbs 13,[30][31][32][33][34][35][36][37][38][39][40] for sex prediction in different parts of the world.…”

Section: Introductionmentioning

confidence: 99%

Estimation of sex from metatarsals using discriminant function and logistic regression analyses

Bidmos

Adebesin

Mazengenya

et al. 2020

Australian Journal of Forensic Sciences

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South Africa has one of the highest crime rates in the world and the discovery of dismembered bodies for human identification process poses a greater challenge. The South African Africans (also known as South African blacks) population group is often the victims of crimes as they are the largest group. While measurements of several bones of the human skeleton have been used for sex estimation, the potential of metatarsals have not been explored in this population group. Metatarsal bones are usually well-preserved since they are recovered in shoes protected from scavengers and they are able to withstand environmental degradation and taphonomy. This study investigated the potential of measurements of metatarsals in sex estimate amongst South African Africans using logistic and discriminant function analysis. Six measurements of metatarsals from 100 individuals of known sex and population affinity from the Raymond Dart Collection of Human skeletons were analysed. Various combinations of measurements of metatarsal bones yielded suitably high average accuracies (79% to 84%) for sex estimation and are comparable to functions derived from other skeletal elements of South African Africans. Metatarsals of South African Africans are therefore useful as alternatives to highly sexual dimorphic bones in the forensic estimation of sex.

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“…Therefore, it is crucial to derive the population-specific reference data in each population to increase the accuracy of sex estimation. In Thailand, although several studies have been reported in sex estimation using Thai skeletal remains, such as humerus [4], cranial and appendicular bones [13], sternum [14], vertebral column [15], radius [16], calcaneus [17,18], mastoid process [19], metacarpal bone [20], iliac bone [21], proximal hand phalange [22], talus [23], navicular bone [24], skull [25], sternum [26], maxillary suture [27], scapula [28], and os coxa [29]. However, studies of sex estimation from fragmented upper limb bones have rarely been published.…”

Section: Introductionmentioning

confidence: 99%