[Probabilistic approach to age estimation of children by dental maturation].
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.
Foti
Bruno
B
Service d'odontologie, UF 1850, Hôpital Nord, Faculté d'odontologie, UMR 6578 CNRS/université de la Méditerranée, Marseille, France. bfoti@ap-hm.fr
Adalian
Pascal
P
Lalys
Loïc
L
Chaillet
Nils
N
Leonetti
Georges
G
Dutour
Olivier
O
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