Evaluation of two age estimation models based on root dentine translucency measurements in permanent lower canines
DOI:
https://doi.org/10.24215/18536387e046Keywords:
lineal regressions, logarithmic regressions, dental translucencyAbstract
Age is one of the biological characteristics that can best be estimated by tooth analysis. In adult individuals, one of the most relevant age indicators is the translucency of the dentine. Age estimation methods using continuous variables are often based on linear regressions. It is well known that many of these indicators increase with age, but not linearly. In this sense, it has been demonstrated that, in certain segments of the data distribution, age is adjusted to the straight line of the regression, while in others the adjustment is not so linear. As a result of this problem, two models of age estimation based on regressions (linear and logarithmic) were analysed from root translucency measurements in permanent lower canines, from their development in a sample from a local population (Lambre collection, FCM-UNLP), to their subsequent evaluation in a different sample (Anatomical Museum collection, University of Valladolid). Results of the validation of both models showed a better overall performance of the logarithmic model. Age proved an important factor in the estimates, with an increase of the error in older individuals. On the other hand, the logarithmic model showed smaller errors in the estimates, when applied to the overall sample.
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