Abstract：
:Juvenile age estimation methods used in forensic anthropology generally lack methodological consistency and/or statistical validity. Considering this, a standard approach using nonparametric Multivariate Adaptive Regression Splines (MARS) models were tested to predict age from iliac biometric variables of male and female juveniles from Marseilles, France, aged 0-12 years. Models using unidimensional (length and width) and bidimensional iliac data (module and surface) were constructed on a training sample of 176 individuals and validated on an independent test sample of 68 individuals. Results show that MARS prediction models using iliac width, module and area give overall better and statistically valid age estimates. These models integrate punctual nonlinearities of the relationship between age and osteometric variables. By constructing valid prediction intervals whose size increases with age, MARS models take into account the normal increase of individual variability. MARS models can qualify as a practical and standardized approach for juvenile age estimation.
journal_name
J Forensic Scijournal_title
Journal of forensic sciencesauthors
Corron L,Marchal F,Condemi S,Chaumoître K,Adalian Pdoi
10.1111/1556-4029.13224subject
Has Abstractpub_date
2017-01-01 00:00:00pages
18-29issue
1eissn
0022-1198issn
1556-4029journal_volume
62pub_type
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