title: [Probabilistic approach to age estimation of children by dental maturation].
abstract: Two probabilist methods of age prediction in children are proposed: they are both based on the radiological presence of erupted teeth or germs. Using an apprenticeship sample of known age and sex, we established several discriminant models (+/- 13, +/- 16, +/- 18 years old). We also evaluated a Bayesian model with the following age groups: < 13, [13-16[, [16-18[, > or = 18 years old, or [X and Y] years old. When applied on a known test sample, Fisher's linear functions presented a success rate greater than 90%, above 13 years threshold, and below 16 and 18 years thresholds, and Bayesian approach, greater than 85%. Therefore, these methods provide an interesting alternative for children age determination that can be applied in biological and forensic anthropology, too.
authors.affiliation: Service d'odontologie, UF 1850, Hôpital Nord, Faculté d'odontologie, UMR 6578 CNRS/université de la Méditerranée, Marseille, France. bfoti@ap-hm.fr
authors.forename: Bruno
authors.initials: B
authors.lastname: Foti
authors.forename: Pascal
authors.initials: P
authors.lastname: Adalian
authors.forename: Loïc
authors.initials: L
authors.lastname: Lalys
authors.forename: Nils
authors.initials: N
authors.lastname: Chaillet
authors.forename: Georges
authors.initials: G
authors.lastname: Leonetti
authors.forename: Olivier
authors.initials: O
authors.lastname: Dutour
mesh_terms: D000293:Adolescent; D000366:Age Determination by Teeth / Q000379:methods*; D000375:Aging; D001499:Bayes Theorem; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D012727:Sex Characteristics; D014078:Tooth Eruption