{
    "o:id": 10540,
    "url": "https://chloe.cnr.it/s/BiDiAr/item/10540",
    "o:resource_template": "Academic Article",
    "o:resource_class": "bibo:AcademicArticle",
    "dcterms:title": [
        "A Bayesian approach to the estimation of the age of humans from tooth development and wear"
    ],
    "dcterms:creator": [
        "Millard, Andrew R.",
        "Gowland, Rebecca L."
    ],
    "dcterms:date": [
        "2002"
    ],
    "dcterms:language": [
        "eng"
    ],
    "dcterms:rights": [
        "https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0"
    ],
    "dcterms: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."
    ],
    "dcterms:isPartOf": [
        "https://chloe.cnr.it/s/BiDiAr/item/2002"
    ],
    "bibo:pages": [
        "197–210"
    ],
    "bibo:uri": [
        "http://www.archcalc.cnr.it/journal/id.php?id=345"
    ],
    "bibo:volume": [
        "13"
    ],
    "foaf:homepage": [
        "https://www.zotero.org/groups/5293298/bidiar/items/323WAEJR/item-list"
    ]
},