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A Bayesian approach to the estimation of the age of humans from tooth development and wear.

Millard, A. and Gowland, R. (2002) 'A Bayesian approach to the estimation of the age of humans from tooth development and wear.', Archeologia e Calcolatori., 13 . pp. 197-210.

Abstract

Examination of dental development is considered to be an accurate method of ageing non-adults, but ageing adults from dental wear is much less accurate. Miles’ method is generally accepted to be the best way we have to derive estimates of tooth-wear ages because it takes into account population variability in wear-rates. Here we develop a Bayesian approach to ageing from dental development and tooth-wear, using a latent trait model and logistic regression to estimate the ages of individuals whose tooth development and/or wear has been scored on ordinal scales. In addition to the original methods this: (a) accounts for uncertainties in tooth development; (b) incorporates in a natural fashion individuals with teeth missing post-mortem. Numerical integrations were performed using Markov-Chain Monte-Carlo techniques and WinBUGS software.

Item Type:Article
Full text:PDF - Published Version (248Kb)
Status:Peer-reviewed
Publisher Web site:http://www.progettocaere.rm.cnr.it/databasegestione/open_oai_page.asp?id=oai:www.progettocaere.rm.cnr.it/databasegestione/A_C_oai_Archive.xml:331
Record Created:26 Jun 2009 16:05
Last Modified:09 Nov 2011 09:43

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