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.
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.
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|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|
|Date accepted:||No date available|
|Date deposited:||13 July 2009|
|Date of first online publication:||November 2002|
|Date first made open access:||No date available|
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