Abstract
In forensic dentistry, teeth are crucial for assessing age, as they remain intact even after death. Various regression models, such as polynomial regression, new robust regression equations, multiple linear regression models, and partial least squares linear regression, are used to determine age. The pulp/tooth area ratio (AR) of maxillary canines is a direct link between age and the subject's age, making multiple regressions the most reliable method. Teeth hardness and invariant changes in their structure also strengthen teeth's applicability in estimating age. These statistical methods are suitable for both forensic and clinical applications, making them suitable for both forensic and clinical applications.
Published Version
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