Application of non-adult Bayesian dental age assessment methods to skeletal remains: the Spitalfields collection

Heuzé, Yann; Braga, José

doi:10.1016/j.jas.2007.04.003

Cited by 10 publications

(7 citation statements)

References 25 publications

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“…Because the timing information is dependent on the number of teeth from which the mean of dental stages is calculated, it is important to quantify the influence over the dental age estimation quality of the number of teeth available. However, in a recent study applying both DBM and IBM to assess the dental age of the Spitalfields collection children, Heuzé and Braga (2007) showed that the quality of both Bayesian methods remains relatively stable regardless of the number of teeth available in each individual. The authors also pointed out that the teeth that complete their development later (i.e., mainly P 4 , M 2 and secondly P 3 and C) are more ''powerful'' (i.e., more useful) in age assessments than teeth that complete their development earlier.…”

Section: Discussionmentioning

confidence: 99%

Testing the quality of nonadult Bayesian dental age assessment methods to juvenile skeletal remains: The Lisbon collection children and secular trend effects

Heuzé

Cardoso

2007

American J Phys Anthropol

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Age estimation of nonadult skeletons from archaeological or forensic contexts has relied heavily on modern schedules of dental formation developed on samples of children of affluent populations. Although genetic factors have been considered to have had the greatest influence on population differences in dental development, increased interest has been placed on the role of environmental influences, such as differences in socioeconomic status and secular trends. This study evaluates the quality (i.e., accuracy and reliability) of two Bayesian dental age estimation methods to a sample of identified child skeletons from the Lisbon collection (20th century Portugal). The two Bayesian methods are developed on a reference sample of modern children from France, Ivory Coast, Iran, and Morocco. The test sample from Lisbon, compared to the reference sample, is separated by over 50 years of secular trends and comprises a lower socioeconomic segment. The two Bayesian methods show that the Lisbon children are consistently 1-year behind in dental age compared to the modern children of the reference sample. Environmental factors largely explain the differences between dental and chronological age in historic samples of nonadults.

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Section: Discussionmentioning

confidence: 99%

Testing the quality of nonadult Bayesian dental age assessment methods to juvenile skeletal remains: The Lisbon collection children and secular trend effects

Heuzé

Cardoso

2007

American J Phys Anthropol

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“…Recently, Bayesian analysis has been offered as an advantageous method both for determining dental ages and for testing for sequence differences against modern human dental formation schedules (Braga et al, 2005;Braga and Heuzé, 2007;Heuzé and Braga, 2008;Bayle et al, 2009a,b). To date, these analyses have used age categories rather than ages, an approach that Konigsberg and Frankenberg (2002) referred to as ''contingency table paleodemography'' because it uses the cross tabulation of skeletal (or in this case dental) stages against age categories.…”

Section: Statistical Analysis Of Ordered Stagesmentioning

confidence: 99%

“…An additional problem that has recently received considerable attention in the literature is the calculation of the probability of observing particular dental sequences given known-age reference information (Braga and Heuzé, 2007;Heuzé and Braga, 2008;Bayle et al, 2009a,b;Bayle et al, 2010). The Roc de Marsal Neandertal serves as a useful example, as Bayle et al (2009b) have examined this probability using synchrotron radiation microtomography, while we can also assess the probability of the dental sequence using Tompkins' radiographs.…”

Section: Application To Fossil Specimens Of Unknown Agementioning

confidence: 99%

Estimating the distribution of probable age‐at‐death from dental remains of immature human fossils

Shackelford

Harris

Konigsberg

2011

American J Phys Anthropol

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In two historic longitudinal growth studies, Moorrees et al. (Am J Phys Anthropol 21 (1963) 99-108; J Dent Res 42 (1963) 1490-1502) presented the "mean attainment age" for stages of tooth development for 10 permanent tooth types and three deciduous tooth types. These findings were presented graphically to assess the rate of tooth formation in living children and to age immature skeletal remains. Despite being widely cited, these graphical data are difficult to implement because there are no accompanying numerical values for the parameters underlying the growth data. This analysis generates numerical parameters from the data reported by Moorrees et al. by digitizing 358 points from these tooth formation graphs using DataThief III, version 1.5. Following the original methods, the digitized points for each age transition were conception-corrected and converted to the logarithmic scale to determine a median attainment age for each dental formation stage. These values are subsequently used to estimate age-at-death distributions for immature individuals using a single tooth or multiple teeth, including estimates for 41 immature early modern humans and 25 immature Neandertals. Within-tooth variance is calculated for each age estimate based on a single tooth, and a between-tooth component of variance is calculated for age estimates based on two or more teeth to account for the increase in precision that comes from using additional teeth. Finally, we calculate the relative probability of observing a particular dental formation sequence given known-age reference information and demonstrate its value in estimating age for immature fossil specimens.

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“…I have only begun to develop this idea, but bayesian statistics offer a way to combine evidences of seasonality from our multiproxy studies. the protocol of monthly interval sampling followed in the most exacting oxygen isotope analyses allows conversion to rank-order data suitable for modeling (Heuzé and braga, 2008). a very early application of bayesian analysis to season of capture questions directed at fish otoliths (English and freeman, 1981) demonstrates the appropriateness of the approach, but modern computer modeling of micromilled samples promises much finer seasonal resolution with an estimate of associated uncertainties (cf.…”

Section: Discussionmentioning

confidence: 99%

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Reitz¹,

Quitmyer²,

Thomas³

et al. 2012

Anthropol. Pap. Am. Mus. Nat. Hist.

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Application of non-adult Bayesian dental age assessment methods to skeletal remains: the Spitalfields collection

Cited by 10 publications

References 25 publications

Testing the quality of nonadult Bayesian dental age assessment methods to juvenile skeletal remains: The Lisbon collection children and secular trend effects

Testing the quality of nonadult Bayesian dental age assessment methods to juvenile skeletal remains: The Lisbon collection children and secular trend effects

Estimating the distribution of probable age‐at‐death from dental remains of immature human fossils

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