Transition analysis applied to third molar development in a Danish population.

Area of Science:

• Forensic Anthropology
• Dental Age Estimation
• Statistical Modeling

Background:

• Dental development, particularly third molar development, is crucial for age assessment, especially for determining if individuals are over or under 18.
• Transition Analysis (TA) is a statistical method used for age estimation based on developmental stages.

Purpose of the Study:

• To apply Transition Analysis (TA) principles to Danish reference material for age assessment.
• To evaluate the necessity of incorporating logistic non-linearity in statistical models compared to logistic linearity for age estimation.
• To compare the performance of generalized additive models (gam) and generalized linear models (glm) in age assessment.

Main Methods:

• Utilized a cross-sectional sample of 1302 panoramic radiographs from Danish subjects aged 13-25 years.
• Scored third molar development using the 10-stage method of Gleiser and Hunt.
• Applied TA to analyze transitions between stages, fitting data with both generalized linear models (glm) and generalized additive models (gam).
• Employed the Akaike information criterion (AIC) to determine model parsimony for each transition.

Main Results:

• The Akaike information criterion (AIC) indicated that some transitions were adequately described by the generalized linear model (glm).
• For other transitions, the generalized additive model (gam) provided a significantly better fit, highlighting the importance of model flexibility.
• The study underscored the need for statistical models that accurately capture the variability in age estimates.

Conclusions:

• For age assessment tools utilizing Transition Analysis (TA), it is recommended to include both linear and non-linear fitting options.
• This approach ensures a more robust and accurate estimation of age across different developmental transitions.